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manifest for l2nav1_w1_v1_full

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  1. eval/l2nav1_w1_v1_full.manifest.json +278 -0
eval/l2nav1_w1_v1_full.manifest.json ADDED
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+ {
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+ "dataset": "l2nav1_w1_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": "w1",
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+ "dataset_name": "l2nav1_w1_v1_full",
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+ "seed": 881002,
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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": 104,
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+ "mover_targets": 104,
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+ "turn_imbalance_mean": 0.0085,
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+ "surface_policy_pct": {
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+ "most_forward": 25.2,
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+ "fewest_turns": 26.2,
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+ "most_turns": 26.3,
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+ "most_waits": 24.0,
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+ "max_net_rotation": 26.2,
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+ "net_is_0": 27.0,
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+ "net_is_90": 27.9,
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+ "net_is_180": 31.5,
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+ "net_is_270": 24.7,
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+ "first_is_move_forward": 25.7,
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+ "first_is_turn_left": 25.6,
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+ "first_is_turn_right": 24.9,
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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": 2466,
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+ "rejected": {
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+ "world": 0,
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+ "walk": 0,
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+ "coverage": 800,
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+ "wall_clearance": 0,
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+ "no_feasible_cell": 435,
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+ "cell_full": 827,
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+ "ratio_budget": 184,
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+ "pixel_coverage": 63
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+ },
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+ "walk_candidates_mean": 13.81,
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+ "wall_clearance_rejects_mean": 1.52
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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,
129
+ "right": 39
130
+ },
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+ "rank": {
132
+ "2nd-furthest": 31,
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+ "2nd-nearest": 31,
134
+ "3rd-furthest": 31,
135
+ "3rd-nearest": 31,
136
+ "furthest": 16,
137
+ "nearest": 16
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+ },
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+ "context": {
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+ "5": 14,
141
+ "6": 33,
142
+ "7": 49,
143
+ "8": 60
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+ },
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+ "context_vs_l1": {
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+ "l2": {
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+ "5": 0.09,
148
+ "6": 0.212,
149
+ "7": 0.314,
150
+ "8": 0.385
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+ },
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+ "l1_set": "easy_eval03_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": 0.16,
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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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+ "mover": 104,
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+ "static": 52
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+ },
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+ "answer_letter": {
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+ "A": 39,
172
+ "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": 10,
178
+ "3": 57,
179
+ "4": 89
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+ },
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+ "distinct_target_ids": {
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+ "1": 84,
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+ "2": 67,
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+ "3": 5
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+ },
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+ "last_frame_visible_share_mean": 0.369,
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+ "answer_changed": {
188
+ "false": 52,
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+ "true": 104
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+ },
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+ "roles_per_item": {
192
+ "correct": 156,
193
+ "free": 116,
194
+ "rank_near_miss": 176,
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+ "sector_only": 176
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+ },
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+ "reference_lines": {
198
+ "stale_world_equals_correct": 52,
199
+ "alt_reading_equals_correct": 68
200
+ },
201
+ "surface_correct": {
202
+ "n_turns_mean": 2.103,
203
+ "n_forward_mean": 2.385,
204
+ "n_waits_mean": 0.513,
205
+ "first_action": {
206
+ "move_forward": 57,
207
+ "noop": 16,
208
+ "turn_left": 40,
209
+ "turn_right": 43
210
+ },
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+ "net_rotation": {
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+ "0": 29,
213
+ "90": 42,
214
+ "180": 53,
215
+ "270": 32
216
+ }
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+ },
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+ "surface_distractors": {
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+ "n_turns_mean": 2.094,
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+ "n_forward_mean": 2.374,
221
+ "n_waits_mean": 0.532,
222
+ "first_action": {
223
+ "move_forward": 172,
224
+ "noop": 53,
225
+ "turn_left": 114,
226
+ "turn_right": 129
227
+ },
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+ "net_rotation": {
229
+ "0": 90,
230
+ "90": 123,
231
+ "180": 134,
232
+ "270": 121
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+ }
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+ },
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+ "surface_shortcut_audit": {
236
+ "n_items": 156,
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+ "chance_pct": 25.0,
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+ "accuracy_pct": {
239
+ "most_forward": 25.2,
240
+ "fewest_turns": 26.2,
241
+ "most_turns": 26.3,
242
+ "most_waits": 24.0,
243
+ "max_net_rotation": 26.2,
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+ "net_is_0": 27.0,
245
+ "net_is_90": 27.9,
246
+ "net_is_180": 31.5,
247
+ "net_is_270": 24.7,
248
+ "first_is_move_forward": 25.7,
249
+ "first_is_turn_left": 25.6,
250
+ "first_is_turn_right": 24.9,
251
+ "first_is_noop": 25.0
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+ },
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+ "z": {
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+ "most_forward": 0.05,
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+ "fewest_turns": 0.35,
256
+ "most_turns": 0.39,
257
+ "most_waits": -0.29,
258
+ "max_net_rotation": 0.35,
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+ "net_is_0": 0.59,
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+ "net_is_90": 0.83,
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+ "net_is_180": 1.88,
262
+ "net_is_270": -0.08,
263
+ "first_is_move_forward": 0.2,
264
+ "first_is_turn_left": 0.17,
265
+ "first_is_turn_right": -0.02,
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+ "first_is_noop": 0.0
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+ },
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+ "worst_policy": "net_is_180",
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+ "worst_z": 1.88,
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+ "null_max_z_p95": 2.07,
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+ "family_p_value": 0.1063,
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+ "permutations": 3000,
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+ "verdict": "clean"
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+ },
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+ "turn_imbalance_mean": 0.0086,
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+ "plan_measured_mismatch_total": 61
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+ }
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+ }