{"id":"W2085283475","doi":"10.1007/s10827-010-0301-0","title":"The Wagon Wheel Illusions and models of orientation selection","year":2011,"lang":"en","type":"article","venue":"Journal of Computational Neuroscience","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Illusion; Theory of computation; Orientation (vector space); Selection (genetic algorithm); Computer science; Cognitive psychology; Cognitive science; Artificial intelligence; Psychology; Computer vision; Mathematics; Algorithm; Geometry","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":[0.0003591051,0.00006210373,0.00008133306,0.0001054657,0.0003975375,0.00005158237,0.0001870266,0.0000197349,0.00001151472],"category_scores_gemma":[0.0004143809,0.00004212054,0.00003538901,0.0003631079,0.0002925486,0.0005527043,0.00003428628,0.000116923,0.000001051795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176469,"about_ca_system_score_gemma":0.00009773066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001540046,"about_ca_topic_score_gemma":4.971654e-7,"domain_scores_codex":[0.9988765,0.000102312,0.0003167371,0.0001283386,0.0004760488,0.0001000352],"domain_scores_gemma":[0.9990401,0.0002316745,0.0003853122,0.00004148207,0.0002356777,0.00006572952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001730264,0.0001896839,0.0001596336,0.000015052,0.000001520278,0.000005690636,0.00312406,0.04646463,0.7325642,0.2016262,0.0001112269,0.01556507],"study_design_scores_gemma":[0.0005710712,0.001022608,0.0169268,0.00004417796,0.00001533195,0.0006975234,0.0002681143,0.5151372,0.09600491,0.3688616,0.0003019958,0.0001486287],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987502,0.00001576026,0.19982,0.0002587908,0.0006443108,0.00005909395,0.000001932572,0.00001019295,0.0004398222],"genre_scores_gemma":[0.996621,0.00006836239,0.002846347,0.0003961147,0.00002541017,7.100426e-7,7.786614e-8,0.000004399179,0.00003755596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6365592,"threshold_uncertainty_score":0.3057577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140404386524614,"score_gpt":0.3257467666592032,"score_spread":0.2117063280067418,"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."}}