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# cwm3/baselines_dms/queue_dms.txt — the full ordered layer 1-3 plan for the six DMS baselines (2026-09-14).  Consumed by baselines_dms/run_queue_dms.sh
# (never started automatically):   setsid nohup bash baselines_dms/run_queue_dms.sh baselines_dms/queue_dms.txt 8 > results/baselines_dms/logs/queue_dms.out 2>&1 &
# Line format:  <done_marker>||<python script + args>[||<need_gb>]   (need_gb 0 = CPU step, no VRAM guard).  A line is skipped when its done marker exists.
# PREREQUISITES (owned by the extractor / summarise agent, not queued here): results/baselines_dms/cache/<b>/<uid>.npz for TRAIN + val + test routes and
#   results/baselines_dms/summ/<b>/summ_{manual,engaged}_{train,val,test}.npz (python baselines_dms/summarise.py --baseline <b> --regime <r> --split <s>).
# Baselines: ov_gaze (I1), ov_action (I2), mp_face (G1), l2cs_gaze (O3), videomae2 (O4), openface3 (opt.); R0 (abl_dms_lmface_rule_s0) already has its layout + gold / op items.
# Eligibility (plan §2): face-only ov_gaze / mp_face / l2cs_gaze / openface3 -> head_turn_onset only in the layer-1 table (hand_* n/a); videomae2 / ov_action -> all three.
#
# ============================================================================ layer 1: substitute kinematics -> U0 survivor recipe (3 seeds) -> paired_compare_joint -> table
# ---- l2cs_gaze (O3)
results/baselines_dms/kin_subst/l2cs_gaze/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline l2cs_gaze --build-packs --source auto||0
results/runs/U0_dms_l2cs_gaze_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline l2cs_gaze --train --seed 0||8
results/runs/U0_dms_l2cs_gaze_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline l2cs_gaze --train --seed 1||8
results/runs/U0_dms_l2cs_gaze_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline l2cs_gaze --train --seed 2||8
results/runs/U0_dms_l2cs_gaze_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline l2cs_gaze --predict-label-rows --seed 0||0
results/runs/U0_dms_l2cs_gaze_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline l2cs_gaze --predict-label-rows --seed 1||0
results/runs/U0_dms_l2cs_gaze_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline l2cs_gaze --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_l2cs_gaze||baselines_dms/fit_u_base.py --baseline l2cs_gaze --pair --seeds 0 1 2 --table||0
# ---- videomae2 (O4)
results/baselines_dms/kin_subst/videomae2/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline videomae2 --build-packs --source summ||0
results/runs/U0_dms_videomae2_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline videomae2 --train --seed 0||8
results/runs/U0_dms_videomae2_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline videomae2 --train --seed 1||8
results/runs/U0_dms_videomae2_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline videomae2 --train --seed 2||8
results/runs/U0_dms_videomae2_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline videomae2 --predict-label-rows --seed 0||0
results/runs/U0_dms_videomae2_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline videomae2 --predict-label-rows --seed 1||0
results/runs/U0_dms_videomae2_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline videomae2 --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_videomae2||baselines_dms/fit_u_base.py --baseline videomae2 --pair --seeds 0 1 2 --table||0
# ---- ov_gaze (I1)
results/baselines_dms/kin_subst/ov_gaze/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline ov_gaze --build-packs --source auto||0
results/runs/U0_dms_ov_gaze_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_gaze --train --seed 0||8
results/runs/U0_dms_ov_gaze_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_gaze --train --seed 1||8
results/runs/U0_dms_ov_gaze_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_gaze --train --seed 2||8
results/runs/U0_dms_ov_gaze_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_gaze --predict-label-rows --seed 0||0
results/runs/U0_dms_ov_gaze_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_gaze --predict-label-rows --seed 1||0
results/runs/U0_dms_ov_gaze_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_gaze --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_ov_gaze||baselines_dms/fit_u_base.py --baseline ov_gaze --pair --seeds 0 1 2 --table||0
# ---- mp_face (G1)
results/baselines_dms/kin_subst/mp_face/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline mp_face --build-packs --source auto||0
results/runs/U0_dms_mp_face_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline mp_face --train --seed 0||8
results/runs/U0_dms_mp_face_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline mp_face --train --seed 1||8
results/runs/U0_dms_mp_face_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline mp_face --train --seed 2||8
results/runs/U0_dms_mp_face_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline mp_face --predict-label-rows --seed 0||0
results/runs/U0_dms_mp_face_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline mp_face --predict-label-rows --seed 1||0
results/runs/U0_dms_mp_face_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline mp_face --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_mp_face||baselines_dms/fit_u_base.py --baseline mp_face --pair --seeds 0 1 2 --table||0
# ---- ov_action (I2)
results/baselines_dms/kin_subst/ov_action/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline ov_action --build-packs --source summ||0
results/runs/U0_dms_ov_action_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_action --train --seed 0||8
results/runs/U0_dms_ov_action_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_action --train --seed 1||8
results/runs/U0_dms_ov_action_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline ov_action --train --seed 2||8
results/runs/U0_dms_ov_action_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_action --predict-label-rows --seed 0||0
results/runs/U0_dms_ov_action_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_action --predict-label-rows --seed 1||0
results/runs/U0_dms_ov_action_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline ov_action --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_ov_action||baselines_dms/fit_u_base.py --baseline ov_action --pair --seeds 0 1 2 --table||0
# ---- openface3 (optional; queued last)
results/baselines_dms/kin_subst/openface3/kinhist_causal_engaged_test.npz||baselines_dms/fit_u_base.py --baseline openface3 --build-packs --source auto||0
results/runs/U0_dms_openface3_s0_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline openface3 --train --seed 0||8
results/runs/U0_dms_openface3_s1_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline openface3 --train --seed 1||8
results/runs/U0_dms_openface3_s2_kcv2_clip8_ln/PRED_DONE||baselines_dms/fit_u_base.py --baseline openface3 --train --seed 2||8
results/runs/U0_dms_openface3_s0_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline openface3 --predict-label-rows --seed 0||0
results/runs/U0_dms_openface3_s1_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline openface3 --predict-label-rows --seed 1||0
results/runs/U0_dms_openface3_s2_kcv2_clip8_ln/pred_u0_engaged_train_labelrows.npz||baselines_dms/fit_u_base.py --baseline openface3 --predict-label-rows --seed 2||0
results/baselines_dms/logs/done_pair_openface3||baselines_dms/fit_u_base.py --baseline openface3 --pair --seeds 0 1 2 --table||0
#
# ============================================================================ layer 2a: chain-style arms (legacy hazard chain on the baseline's own history; GPU; seed 0)
# (videomae2 / ov_action: not applicable — no head-pose / eye-state channel; chain_style.py exits without writing)
results/runs/abl_dms_l2cs_gaze_chain_s0/PRED_DONE||baselines_dms/chain_style.py --baseline l2cs_gaze --seed 0 --device cuda||6
results/runs/abl_dms_ov_gaze_chain_s0/PRED_DONE||baselines_dms/chain_style.py --baseline ov_gaze --seed 0 --device cuda||6
results/runs/abl_dms_mp_face_chain_s0/PRED_DONE||baselines_dms/chain_style.py --baseline mp_face --seed 0 --device cuda||6
results/runs/abl_dms_openface3_chain_s0/PRED_DONE||baselines_dms/chain_style.py --baseline openface3 --seed 0 --device cuda||6
#
# ============================================================================ layer 2b: common learned read-out (CPU; 3 seeds) + matched-context arm (C ii) + U0-augmented + prior-imputed secondary
results/runs/abl_dms_l2cs_gaze_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 0||0
results/runs/abl_dms_l2cs_gaze_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 1||0
results/runs/abl_dms_l2cs_gaze_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 2||0
results/runs/abl_dms_l2cs_gaze_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 0 --ctx||0
results/runs/abl_dms_l2cs_gaze_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 1 --ctx||0
results/runs/abl_dms_l2cs_gaze_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 2 --ctx||0
results/runs/abl_dms_l2cs_gaze_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 0 --with-u0||0
results/runs/abl_dms_l2cs_gaze_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 1 --with-u0||0
results/runs/abl_dms_l2cs_gaze_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 2 --with-u0||0
results/runs/abl_dms_l2cs_gaze_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline l2cs_gaze --seed 0 --impute prior||0
results/runs/abl_dms_videomae2_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 0||0
results/runs/abl_dms_videomae2_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 1||0
results/runs/abl_dms_videomae2_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 2||0
results/runs/abl_dms_videomae2_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 0 --ctx||0
results/runs/abl_dms_videomae2_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 1 --ctx||0
results/runs/abl_dms_videomae2_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 2 --ctx||0
results/runs/abl_dms_videomae2_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 0 --with-u0||0
results/runs/abl_dms_videomae2_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 1 --with-u0||0
results/runs/abl_dms_videomae2_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 2 --with-u0||0
results/runs/abl_dms_videomae2_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline videomae2 --seed 0 --impute prior||0
results/runs/abl_dms_ov_gaze_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 0||0
results/runs/abl_dms_ov_gaze_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 1||0
results/runs/abl_dms_ov_gaze_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 2||0
results/runs/abl_dms_ov_gaze_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 0 --ctx||0
results/runs/abl_dms_ov_gaze_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 1 --ctx||0
results/runs/abl_dms_ov_gaze_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 2 --ctx||0
results/runs/abl_dms_ov_gaze_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 0 --with-u0||0
results/runs/abl_dms_ov_gaze_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 1 --with-u0||0
results/runs/abl_dms_ov_gaze_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 2 --with-u0||0
results/runs/abl_dms_ov_gaze_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_gaze --seed 0 --impute prior||0
results/runs/abl_dms_mp_face_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 0||0
results/runs/abl_dms_mp_face_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 1||0
results/runs/abl_dms_mp_face_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 2||0
results/runs/abl_dms_mp_face_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 0 --ctx||0
results/runs/abl_dms_mp_face_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 1 --ctx||0
results/runs/abl_dms_mp_face_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 2 --ctx||0
results/runs/abl_dms_mp_face_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 0 --with-u0||0
results/runs/abl_dms_mp_face_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 1 --with-u0||0
results/runs/abl_dms_mp_face_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 2 --with-u0||0
results/runs/abl_dms_mp_face_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline mp_face --seed 0 --impute prior||0
results/runs/abl_dms_ov_action_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 0||0
results/runs/abl_dms_ov_action_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 1||0
results/runs/abl_dms_ov_action_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 2||0
results/runs/abl_dms_ov_action_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 0 --ctx||0
results/runs/abl_dms_ov_action_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 1 --ctx||0
results/runs/abl_dms_ov_action_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 2 --ctx||0
results/runs/abl_dms_ov_action_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 0 --with-u0||0
results/runs/abl_dms_ov_action_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 1 --with-u0||0
results/runs/abl_dms_ov_action_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 2 --with-u0||0
results/runs/abl_dms_ov_action_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline ov_action --seed 0 --impute prior||0
results/runs/abl_dms_openface3_learned_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 0||0
results/runs/abl_dms_openface3_learned_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 1||0
results/runs/abl_dms_openface3_learned_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 2||0
results/runs/abl_dms_openface3_ctx_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 0 --ctx||0
results/runs/abl_dms_openface3_ctx_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 1 --ctx||0
results/runs/abl_dms_openface3_ctx_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 2 --ctx||0
results/runs/abl_dms_openface3_learnedu0_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 0 --with-u0||0
results/runs/abl_dms_openface3_learnedu0_s1/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 1 --with-u0||0
results/runs/abl_dms_openface3_learnedu0_s2/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 2 --with-u0||0
results/runs/abl_dms_openface3_learnedimp_s0/PRED_DONE||baselines_dms/fit_readout.py --baseline openface3 --seed 0 --impute prior||0
#
# ============================================================================ layer 2c / 3: unchanged evaluators per baseline column (CPU) -> gold item dms_<b>, operating points (dms_matched, low10, same_recall, low1/3/5), report_dms --verify, coverage
# done markers = the report verify log written by eval_dms (the evaluators create their own stamped dirs); one item per baseline: learned (3 seeds) is the primary column,
# chain (seed 0) and ctx (3 seeds) are separate items so that warning_gold's common-row rule never mixes coverages.
results/baselines_dms/logs/done_eval_l2cs_gaze_learned||baselines_dms/eval_dms.py --baseline l2cs_gaze_learned --arms abl_dms_l2cs_gaze_learned --seeds 0 1 2 --col dms_l2cs_gaze_learned_sel_t15_w10_n979 --label "L2CS-Net (Gaze360) learned read-out" --status "adapted; gaze angles -> 8 s causal summaries -> common read-out"||0
results/baselines_dms/logs/done_eval_l2cs_gaze_ctx||baselines_dms/eval_dms.py --baseline l2cs_gaze_ctx --arms abl_dms_l2cs_gaze_ctx --seeds 0 1 2 --col dms_l2cs_gaze_ctx_sel_t15_w10_n979 --label "L2CS-Net + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_l2cs_gaze_chain||baselines_dms/eval_dms.py --baseline l2cs_gaze_chain --arms abl_dms_l2cs_gaze_chain --seeds 0 --col dms_l2cs_gaze_chain_att3s --label "L2CS-Net chain-style att@3s" --status "chain-style (legacy hazard chain on L2CS history; hands from shared pose channel)"||0
results/baselines_dms/logs/done_eval_videomae2_learned||baselines_dms/eval_dms.py --baseline videomae2_learned --arms abl_dms_videomae2_learned --seeds 0 1 2 --col dms_videomae2_learned_sel_t15_w10_n979 --label "VideoMAEv2 ViT-S frozen features, learned read-out" --status "adapted; frozen 384-d window embeddings -> common read-out"||0
results/baselines_dms/logs/done_eval_videomae2_ctx||baselines_dms/eval_dms.py --baseline videomae2_ctx --arms abl_dms_videomae2_ctx --seeds 0 1 2 --col dms_videomae2_ctx_sel_t15_w10_n979 --label "VideoMAEv2 + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_ov_gaze_learned||baselines_dms/eval_dms.py --baseline ov_gaze_learned --arms abl_dms_ov_gaze_learned --seeds 0 1 2 --col dms_ov_gaze_learned_sel_t15_w10_n979 --label "Intel OMZ head-pose / gaze / eye pipeline, learned read-out" --status "adapted; assembled from Intel OMZ components"||0
results/baselines_dms/logs/done_eval_ov_gaze_ctx||baselines_dms/eval_dms.py --baseline ov_gaze_ctx --arms abl_dms_ov_gaze_ctx --seeds 0 1 2 --col dms_ov_gaze_ctx_sel_t15_w10_n979 --label "Intel OMZ pipeline + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_ov_gaze_chain||baselines_dms/eval_dms.py --baseline ov_gaze_chain --arms abl_dms_ov_gaze_chain --seeds 0 --col dms_ov_gaze_chain_att3s --label "Intel OMZ pipeline chain-style att@3s" --status "chain-style"||0
results/baselines_dms/logs/done_eval_mp_face_learned||baselines_dms/eval_dms.py --baseline mp_face_learned --arms abl_dms_mp_face_learned --seeds 0 1 2 --col dms_mp_face_learned_sel_t15_w10_n979 --label "MediaPipe Face Landmarker, learned read-out" --status "adapted; blendshapes + head pose -> common read-out"||0
results/baselines_dms/logs/done_eval_mp_face_ctx||baselines_dms/eval_dms.py --baseline mp_face_ctx --arms abl_dms_mp_face_ctx --seeds 0 1 2 --col dms_mp_face_ctx_sel_t15_w10_n979 --label "MediaPipe + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_mp_face_chain||baselines_dms/eval_dms.py --baseline mp_face_chain --arms abl_dms_mp_face_chain --seeds 0 --col dms_mp_face_chain_att3s --label "MediaPipe chain-style att@3s" --status "chain-style"||0
results/baselines_dms/logs/done_eval_ov_action_learned||baselines_dms/eval_dms.py --baseline ov_action_learned --arms abl_dms_ov_action_learned --seeds 0 1 2 --col dms_ov_action_learned_sel_t15_w10_n979 --label "Intel OMZ driver-action-recognition logits, learned read-out" --status "adapted; 9 action logits -> common read-out"||0
results/baselines_dms/logs/done_eval_ov_action_ctx||baselines_dms/eval_dms.py --baseline ov_action_ctx --arms abl_dms_ov_action_ctx --seeds 0 1 2 --col dms_ov_action_ctx_sel_t15_w10_n979 --label "Intel OMZ action logits + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_openface3_learned||baselines_dms/eval_dms.py --baseline openface3_learned --arms abl_dms_openface3_learned --seeds 0 1 2 --col dms_openface3_learned_sel_t15_w10_n979 --label "OpenFace 3.0, learned read-out" --status "adapted (optional baseline)"||0
results/baselines_dms/logs/done_eval_openface3_ctx||baselines_dms/eval_dms.py --baseline openface3_ctx --arms abl_dms_openface3_ctx --seeds 0 1 2 --col dms_openface3_ctx_sel_t15_w10_n979 --label "OpenFace 3.0 + CockpitWM current-state context" --status "matched-context arm (C ii)"||0
results/baselines_dms/logs/done_eval_openface3_chain||baselines_dms/eval_dms.py --baseline openface3_chain --arms abl_dms_openface3_chain --seeds 0 --col dms_openface3_chain_att3s --label "OpenFace 3.0 chain-style att@3s" --status "chain-style"||0
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