{"id":"W2893997230","doi":"10.1167/18.10.9","title":"Statistical learning generates implicit conjunctive predictions","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quadrant (abdomen); Artificial intelligence; Computer science; Association (psychology); Object (grammar); Pattern recognition (psychology); Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737573,0.00006830871,0.0001697258,0.0001907093,0.0002907768,0.0001490909,0.000302522,0.00004951461,0.0005359686],"category_scores_gemma":[0.002237609,0.00004349977,0.00007234228,0.0003873065,0.0001546225,0.0002067517,0.00007376295,0.0002338414,0.0001369915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003239568,"about_ca_system_score_gemma":0.00006010852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006590627,"about_ca_topic_score_gemma":0.000002962148,"domain_scores_codex":[0.9983713,0.000102785,0.000598936,0.0001464254,0.0006573693,0.000123198],"domain_scores_gemma":[0.9973814,0.0007138979,0.0004606475,0.0001673968,0.001166314,0.0001103111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002660302,0.0003569241,0.01410469,0.00000345627,0.0000593315,0.00002234374,0.0009862737,0.001075588,0.05769287,0.04266554,0.5995001,0.2832668],"study_design_scores_gemma":[0.0008628915,0.007299917,0.2090969,0.0001351279,0.00007231456,0.0005711062,0.0009736224,0.1001314,0.006771476,0.2641774,0.4095887,0.0003191775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2795041,0.00003905085,0.7143198,0.001000697,0.0003069523,0.00007641644,0.00001288092,0.00003453188,0.004705498],"genre_scores_gemma":[0.9618065,0.00001274613,0.03718298,0.00007657639,0.0004886071,0.000001545681,0.000001094025,0.000006689725,0.0004232051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6823024,"threshold_uncertainty_score":0.5868481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07645950649617321,"score_gpt":0.4346074983459647,"score_spread":0.3581479918497915,"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."}}