{"id":"W1233695737","doi":"10.1167/15.12.390","title":"Statistical regularities compress numerical representations","year":2015,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Numerosity adaptation effect; Perception; Mathematics; Set (abstract data type); Color vision; Object (grammar); Artificial intelligence; Pattern recognition (psychology); Cognitive psychology; Computer science; Psychology","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":[0.0008356196,0.0003587696,0.0005141373,0.001859824,0.0004411341,0.002387856,0.0005992959,0.0004987976,0.005557652],"category_scores_gemma":[0.01899238,0.0006643216,0.0005211117,0.001274997,0.001633265,0.005066462,0.00223933,0.00101561,0.0006517156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000568094,"about_ca_system_score_gemma":0.0003790001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072181,"about_ca_topic_score_gemma":0.0006909325,"domain_scores_codex":[0.9990694,0.0001512822,0.00007155042,0.0002894541,0.0003289766,0.00008940468],"domain_scores_gemma":[0.9917058,0.004189809,0.001021594,0.002104572,0.0007579059,0.0002204522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001036214,0.0001376064,0.02643522,0.000959476,0.0002513885,0.001109203,0.004630573,0.04021614,0.1479274,0.3360809,0.006874581,0.4343412],"study_design_scores_gemma":[0.00006494828,0.0003046404,0.1018447,0.0001509321,0.00012367,0.0008893971,0.0009915717,0.2334154,0.01832764,0.6268657,0.01685121,0.0001701357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7273015,0.001005735,0.2501402,0.001088294,0.0002666782,0.00005833768,0.0008568082,0.001781303,0.01750124],"genre_scores_gemma":[0.9711278,0.0004990185,0.02564434,0.000161549,0.0001479433,0.00004472675,0.0004916723,0.0003126741,0.001570282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005557652,"threshold_uncertainty_score":0.01859224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457077279683734,"score_gpt":0.3860504623863757,"score_spread":0.3214796895895384,"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."}}