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manifest for l2nav1_w0_v1_full

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  1. eval/l2nav1_w0_v1_full.manifest.json +274 -0
eval/l2nav1_w0_v1_full.manifest.json ADDED
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+ {
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+ "dataset": "l2nav1_w0_v1_full",
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+ "prompt_rev": "l2v1",
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+ "git": "f1279b6",
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+ "task": "l2nav1",
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+ "qtype": "nav_dist_rel",
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+ "config": {
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+ "world": "w0",
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+ "dataset_name": "l2nav1_w0_v1_full",
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+ "seed": 881001,
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+ "room_size": 16,
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+ "n_objects": 6,
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+ "n_movers": 2,
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+ "fov_deg": 75.0,
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+ "render_res": 512,
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+ "context_levels": [
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+ 5,
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+ 6,
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+ 7,
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+ 8
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+ ],
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+ "plan_lens": [
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+ 4,
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+ 5,
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+ 6
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+ ],
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+ "ranks": [
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+ "nearest",
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+ "2nd-nearest",
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+ "3rd-nearest",
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+ "3rd-furthest",
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+ "2nd-furthest",
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+ "furthest"
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+ ],
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+ "sectors": [
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+ "front",
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+ "behind",
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+ "left",
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+ "right"
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+ ],
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+ "sector_rule": "dominance",
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+ "sector_margin_deg": 8.0,
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+ "rank_gap_min": 1.5,
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+ "wall_clearance_min": 3.0,
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+ "pixel_confirm_min": 0.5,
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+ "coverage_fov_deg": 75.0,
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+ "rank_gap_near_max": 2.0,
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+ "sector_margin_near_max_deg": 12.5,
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+ "per_cell": 13,
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+ "prompt_rev": "l2v1"
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+ },
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+ "quota": {
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+ "per_cell_target": 13,
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+ "total": 156,
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+ "cells": {
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+ "L4:behind": 13,
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+ "L4:front": 13,
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+ "L4:left": 13,
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+ "L4:right": 13,
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+ "L5:behind": 13,
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+ "L5:front": 13,
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+ "L5:left": 13,
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+ "L5:right": 13,
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+ "L6:behind": 13,
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+ "L6:front": 13,
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+ "L6:left": 13,
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+ "L6:right": 13
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+ },
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+ "ranks": {
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+ "nearest": 16,
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+ "2nd-nearest": 31,
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+ "3rd-nearest": 31,
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+ "3rd-furthest": 31,
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+ "2nd-furthest": 31,
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+ "furthest": 16
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+ },
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+ "answer_letters": {
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+ "A": 39,
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+ "B": 39,
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+ "C": 39,
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+ "D": 39
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+ },
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+ "hard_margin": 104,
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+ "stale_flips": 0,
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+ "mover_targets": 0,
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+ "turn_imbalance_mean": 0.0427,
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+ "surface_policy_pct": {
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+ "most_forward": 25.3,
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+ "fewest_turns": 25.3,
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+ "most_turns": 26.6,
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+ "most_waits": 25.0,
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+ "max_net_rotation": 27.2,
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+ "net_is_0": 28.7,
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+ "net_is_90": 26.5,
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+ "net_is_180": 25.0,
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+ "net_is_270": 28.8,
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+ "first_is_move_forward": 24.4,
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+ "first_is_turn_left": 24.8,
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+ "first_is_turn_right": 25.9,
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+ "first_is_noop": 25.0
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+ }
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+ },
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+ "generator_stats": {
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+ "attempts": 1656,
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+ "rejected": {
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+ "world": 0,
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+ "walk": 0,
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+ "coverage": 0,
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+ "wall_clearance": 0,
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+ "no_feasible_cell": 671,
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+ "cell_full": 791,
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+ "ratio_budget": 12,
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+ "pixel_coverage": 25
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+ },
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+ "walk_candidates_mean": 2.3,
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+ "wall_clearance_rejects_mean": 0.21
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+ },
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+ "audits": {
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+ "n_items": 156,
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+ "plan_len": {
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+ "4": 52,
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+ "5": 52,
123
+ "6": 52
124
+ },
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+ "sector": {
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+ "behind": 39,
127
+ "front": 39,
128
+ "left": 39,
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+ "right": 39
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+ },
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+ "rank": {
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+ "2nd-furthest": 31,
133
+ "2nd-nearest": 31,
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+ "3rd-furthest": 31,
135
+ "3rd-nearest": 31,
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+ "furthest": 16,
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+ "nearest": 16
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+ },
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+ "context": {
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+ "5": 34,
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+ "6": 50,
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+ "7": 40,
143
+ "8": 32
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+ },
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+ "context_vs_l1": {
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+ "l2": {
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+ "5": 0.218,
148
+ "6": 0.321,
149
+ "7": 0.256,
150
+ "8": 0.205
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+ },
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+ "l1_set": "easy_eval_v1_full",
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+ "l1": {
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+ "5": 0.25,
155
+ "6": 0.25,
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+ "7": 0.25,
157
+ "8": 0.25
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+ },
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+ "max_abs_share_gap": 0.071,
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+ "caveat": "Context is soft-balanced, and W1's all-boxes-twice sighting rule bends it toward longer walks (W0, needing one sighting per box, stays near uniform). Recorded rather than corrected, on two grounds: context was measured on the v1 chain to be a redundancy axis with no monotone effect on accuracy, and the bend runs CONSERVATIVE for the W0-vs-W1 contrast — W1 carries the longer observations, which should help it, so any W1 deficit measured against W0 is if anything understated. Do not slice W1 by context: the shortest level is nearly empty."
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+ },
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+ "margin_bin": {
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+ "near": 104,
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+ "wide": 52
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+ },
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+ "query_target": {
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+ "static": 156
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+ },
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+ "answer_letter": {
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+ "A": 39,
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+ "B": 39,
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+ "C": 39,
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+ "D": 39
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+ },
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+ "distinct_endpoint_positions": {
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+ "2": 1,
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+ "3": 50,
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+ "4": 105
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+ },
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+ "distinct_target_ids": {
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+ "1": 77,
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+ "2": 72,
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+ "3": 7
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+ },
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+ "last_frame_visible_share_mean": 0.227,
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+ "answer_changed": {
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+ "null": 156
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+ },
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+ "roles_per_item": {
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+ "correct": 156,
191
+ "free": 135,
192
+ "rank_near_miss": 165,
193
+ "sector_only": 168
194
+ },
195
+ "reference_lines": {
196
+ "stale_world_equals_correct": 156,
197
+ "alt_reading_equals_correct": 94
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+ },
199
+ "surface_correct": {
200
+ "n_turns_mean": 2.378,
201
+ "n_forward_mean": 2.622,
202
+ "n_waits_mean": 0.0,
203
+ "first_action": {
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+ "move_forward": 63,
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+ "turn_left": 43,
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+ "turn_right": 50
207
+ },
208
+ "net_rotation": {
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+ "0": 32,
210
+ "90": 37,
211
+ "180": 47,
212
+ "270": 40
213
+ }
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+ },
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+ "surface_distractors": {
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+ "n_turns_mean": 2.335,
217
+ "n_forward_mean": 2.665,
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+ "n_waits_mean": 0.0,
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+ "first_action": {
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+ "move_forward": 198,
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+ "turn_left": 129,
222
+ "turn_right": 141
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+ },
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+ "net_rotation": {
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+ "0": 81,
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+ "90": 119,
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+ "180": 158,
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+ "270": 110
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+ }
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+ },
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+ "surface_shortcut_audit": {
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+ "n_items": 156,
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+ "chance_pct": 25.0,
234
+ "accuracy_pct": {
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+ "most_forward": 25.3,
236
+ "fewest_turns": 25.3,
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+ "most_turns": 26.6,
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+ "most_waits": 25.0,
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+ "max_net_rotation": 27.2,
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+ "net_is_0": 28.7,
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+ "net_is_90": 26.5,
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+ "net_is_180": 25.0,
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+ "net_is_270": 28.8,
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+ "first_is_move_forward": 24.4,
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+ "first_is_turn_left": 24.8,
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+ "first_is_turn_right": 25.9,
247
+ "first_is_noop": 25.0
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+ },
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+ "z": {
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+ "most_forward": 0.09,
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+ "fewest_turns": 0.09,
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+ "most_turns": 0.46,
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+ "most_waits": 0.0,
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+ "max_net_rotation": 0.65,
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+ "net_is_0": 1.06,
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+ "net_is_90": 0.43,
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+ "net_is_180": 0.0,
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+ "net_is_270": 1.09,
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+ "first_is_move_forward": -0.17,
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+ "first_is_turn_left": -0.06,
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+ "first_is_turn_right": 0.25,
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+ "first_is_noop": 0.0
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+ },
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+ "worst_policy": "net_is_270",
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+ "worst_z": 1.09,
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+ "null_max_z_p95": 2.07,
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+ "family_p_value": 0.6973,
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+ "permutations": 3000,
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+ "verdict": "clean"
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+ },
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+ "turn_imbalance_mean": 0.0427,
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+ "plan_measured_mismatch_total": 22
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+ }
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+ }