{"id":"W2893919036","doi":"10.1177/2041669518801029","title":"Crowding and the Furrow Illusion","year":2018,"lang":"en","type":"article","venue":"i-Perception","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Oblique case; Grating; Illusion; Crowding; Optics; Orientation (vector space); Path (computing); Motion (physics); Motion perception; Physics; Computer science; Computer vision; Geometry; Psychology; Mathematics; Cognitive psychology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003582586,0.00009325933,0.0000840042,0.00005042669,0.0006468506,0.0001325535,0.0001198945,0.00005989006,0.0008541009],"category_scores_gemma":[0.0001789805,0.00006023826,0.00003128209,0.0001641977,0.000438547,0.0002160394,0.00006607488,0.0001073792,0.0007037286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002370943,"about_ca_system_score_gemma":0.000009259911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001326101,"about_ca_topic_score_gemma":0.000005837576,"domain_scores_codex":[0.9991059,0.0001498596,0.0001229403,0.0002673294,0.000194923,0.0001589925],"domain_scores_gemma":[0.9996712,0.00005558768,0.0000466885,0.000144152,0.0000335338,0.00004883665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007018654,0.0000114318,0.00001941308,0.000005770935,3.942017e-7,4.875695e-7,0.003558607,4.16753e-7,0.9393935,0.003247152,0.0002516143,0.05344105],"study_design_scores_gemma":[0.01873563,0.002648523,0.1037135,0.0006181718,0.0001839282,0.001008565,0.01913268,0.1571527,0.4755619,0.1030031,0.1152477,0.002993583],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820411,0.000007445583,0.006548178,0.001541876,0.0004680011,0.0001473076,0.000001395231,0.0001320369,0.009112664],"genre_scores_gemma":[0.9943244,0.00005759205,0.0003039316,0.003793399,0.000370703,0.000008296097,9.748337e-7,0.00001206904,0.001128626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4638315,"threshold_uncertainty_score":0.9351806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05189828140337386,"score_gpt":0.3239496905869357,"score_spread":0.2720514091835618,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}