{"id":"W1976395159","doi":"10.1167/14.10.348","title":"Tracking Illusory Contour Figures","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Illusory contours; Gestalt psychology; Orientation (vector space); Object (grammar); Luminance; Artificial intelligence; Computer vision; Task (project management); Psychology; Cognitive psychology; Computer science; Perception; Illusion; Optical illusion; Mathematics; Geometry; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004788543,0.000426891,0.0005233894,0.0003409107,0.0002453524,0.0008262545,0.0006888424,0.0007167803,0.003742033],"category_scores_gemma":[0.00364178,0.0002835307,0.0002745256,0.0002253063,0.0003904151,0.001833742,0.001179731,0.0006874769,0.000537376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003808974,"about_ca_system_score_gemma":0.0002209008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203874,"about_ca_topic_score_gemma":0.001331243,"domain_scores_codex":[0.9994652,0.00004002524,0.00005631644,0.000194313,0.0001687101,0.00007539258],"domain_scores_gemma":[0.998231,0.0007646949,0.0002947599,0.0003661074,0.0001613916,0.0001821531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001204215,0.0001601898,0.005057141,0.0001543894,0.00002287958,0.0001031553,0.0009484157,0.0004943793,0.9680314,0.0005593075,0.0001651716,0.02309937],"study_design_scores_gemma":[0.0002015906,0.005036474,0.2504845,0.00009927733,0.0001791359,0.001292962,0.001071782,0.03411775,0.70101,0.002899127,0.003484471,0.00012302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930004,0.00007407456,0.005357986,0.00001870674,0.00001859631,0.00003009925,0.00004227151,0.00008756429,0.001370272],"genre_scores_gemma":[0.9883965,0.00008846662,0.009833882,0.00005221244,0.000005617645,0.00003606276,0.0001641109,0.00006248623,0.00136062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003742033,"threshold_uncertainty_score":0.01251835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008218898077992538,"score_gpt":0.2710996878348934,"score_spread":0.2628807897569009,"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."}}