{"id":"W2945377046","doi":"10.1016/j.cognition.2019.05.007","title":"Evidence of stable individual differences in implicit learning","year":2019,"lang":"en","type":"article","venue":"Cognition","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Implicit learning; Psychology; Cognitive psychology; Implicit memory; Explicit memory; Implicit-association test; Sequence learning; Trait; Implicit attitude; Explicit knowledge; Cognition; Developmental psychology; Semantic memory; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001851247,0.00004624801,0.00009105899,0.00009513045,0.00001809051,0.000009955529,0.00005114026,0.00005921365,0.004677052],"category_scores_gemma":[0.00008466557,0.00004701432,0.0000154456,0.000211934,0.00001468118,0.0001899296,0.00001243548,0.0000990416,0.0003539502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000150297,"about_ca_system_score_gemma":0.00001722727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002896943,"about_ca_topic_score_gemma":0.00001313043,"domain_scores_codex":[0.999407,0.00009731642,0.0001699226,0.0001237347,0.0001136171,0.0000884266],"domain_scores_gemma":[0.999611,0.0001238048,0.0001077511,0.00006824057,0.0000747005,0.00001449614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004970519,0.00006638656,0.9777224,0.00003209999,0.00001274708,4.956168e-7,0.001665848,0.00003003406,0.006941152,0.001119165,0.000126938,0.01223305],"study_design_scores_gemma":[0.0004261305,0.0001206318,0.9956995,0.0001352178,0.000008564408,0.000001331266,0.001324642,0.0003151285,0.001351868,0.0003888082,0.0001619271,0.00006625566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884575,0.0001106364,0.001570857,0.00006839148,0.0002003822,0.0001401539,0.000002256488,0.00002468983,0.009425134],"genre_scores_gemma":[0.9984767,0.00002293961,0.00003045476,0.00007733907,0.00002208532,0.00001409491,0.00003535377,0.000005058875,0.001315914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01797711,"threshold_uncertainty_score":0.9962328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155019367689052,"score_gpt":0.3382469815548489,"score_spread":0.2227450447859437,"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."}}