{"id":"W2569111046","doi":"10.1167/16.12.400","title":"Rapid category learning: Naturalized images to abstract categories","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Animal and Plant Science Education","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Categorization; Object (grammar); Warbler; Psychology; Contiguity; Cognitive psychology; Artificial intelligence; Perception; Cognitive neuroscience of visual object recognition; Abstraction; Communication; Pattern recognition (psychology); Computer science; Biology; Ecology","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":[0.000579181,0.0002428137,0.0002163282,0.0002384164,0.0001560001,0.0006648026,0.0005039006,0.0002776254,0.002949129],"category_scores_gemma":[0.007613072,0.000315504,0.0002384178,0.0001538236,0.0006838858,0.001510878,0.001014686,0.0007042681,0.0002060031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002616128,"about_ca_system_score_gemma":0.0001974111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005770928,"about_ca_topic_score_gemma":0.0005369971,"domain_scores_codex":[0.9995839,0.0001093582,0.00001309249,0.0001578517,0.0000946943,0.00004101368],"domain_scores_gemma":[0.9977526,0.001105158,0.0003564853,0.0004646299,0.0001826836,0.0001385041],"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":[0.001574125,0.0002921165,0.01511025,0.0003904839,0.00007166347,0.0004157197,0.004778352,0.00482607,0.8324479,0.009899576,0.001343056,0.1288507],"study_design_scores_gemma":[0.0003782315,0.006215447,0.4850549,0.0002498921,0.0001890101,0.003965394,0.004159821,0.1552698,0.2465355,0.07233945,0.02542049,0.0002219824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503588,0.0001862246,0.04441316,0.0001062413,0.00003034054,0.0001076693,0.00008326683,0.0001946568,0.0045197],"genre_scores_gemma":[0.9754516,0.00008546912,0.02292359,0.00007921822,0.00001095395,0.00007619955,0.0001338847,0.0000556949,0.001183273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002949129,"threshold_uncertainty_score":0.009865761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750447552537495,"score_gpt":0.346577293158626,"score_spread":0.319072817633251,"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."}}