{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003424702,0.0006114618,0.00057143,0.0003508267,0.0003610534,0.001753787,0.001402155,0.001032779,0.002937965],"category_scores_gemma":[0.03891426,0.0008030066,0.0008832823,0.0003263623,0.001776727,0.003035719,0.001456903,0.001969901,0.0006447788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007033462,"about_ca_system_score_gemma":0.0008921368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173886,"about_ca_topic_score_gemma":0.001806798,"domain_scores_codex":[0.9960647,0.001168064,0.00027525,0.001212212,0.0009901779,0.0002895791],"domain_scores_gemma":[0.9736583,0.01634229,0.003380522,0.004298897,0.001681695,0.0006381912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003203281,0.0009950633,0.131882,0.001236199,0.0008248244,0.00285895,0.003163056,0.09820282,0.2992941,0.1038658,0.006459077,0.3480148],"study_design_scores_gemma":[0.0001971213,0.0007587217,0.04081628,0.0001102756,0.0002108042,0.000677313,0.0003312148,0.6630099,0.08944786,0.2004703,0.003794889,0.0001753981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7503117,0.0001692386,0.2309857,0.001112296,0.0001837162,0.0001520831,0.0003584257,0.001498055,0.01522872],"genre_scores_gemma":[0.9754105,0.00008255478,0.02295347,0.0001819887,0.00003038944,0.00004704723,0.0002510165,0.0001017934,0.0009413529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003424702,"threshold_uncertainty_score":0.01811177,"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."}}