{"id":"W2621575189","doi":"10.3758/s13421-017-0721-4","title":"Relative speed of processing determines color–word contingency learning","year":2017,"lang":"en","type":"article","venue":"Memory & Cognition","topic":"Multisensory perception and integration","field":"Psychology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contingency; Psychology; Color term; Cognitive psychology; Reading (process); Feature (linguistics); Word (group theory); Dimension (graph theory); Communication; Artificial intelligence; Linguistics; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009834446,0.000283072,0.0004021448,0.0005548748,0.0001791438,0.001909059,0.0003246627,0.0005891829,0.006798919],"category_scores_gemma":[0.01160137,0.0005726797,0.0002003498,0.0002840962,0.0005295911,0.001891553,0.0005165824,0.0009810335,0.0009227629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165849,"about_ca_system_score_gemma":0.0003903665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00105125,"about_ca_topic_score_gemma":0.001047032,"domain_scores_codex":[0.9994955,0.00006363123,0.00003735051,0.000185696,0.000145424,0.0000723955],"domain_scores_gemma":[0.9908036,0.005763182,0.001428672,0.0007835161,0.0006342239,0.0005867409],"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":[0.00420431,0.0005013117,0.09689227,0.0001114581,0.00009510589,0.0002570589,0.0006053643,0.001246219,0.8477906,0.002406837,0.000680792,0.04520875],"study_design_scores_gemma":[0.000177139,0.001372295,0.8781221,0.00003786485,0.000134647,0.001035744,0.0005406303,0.01703428,0.09262756,0.00732871,0.001510557,0.00007849574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958979,0.000074722,0.001934682,0.00005533572,0.00004096299,0.00001265164,0.00005318409,0.00004356925,0.001886903],"genre_scores_gemma":[0.9960144,0.0001110435,0.002003549,0.00005472812,0.00002118152,0.00001425323,0.0001438504,0.0001510337,0.001486103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006798919,"threshold_uncertainty_score":0.02274466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08966583216843207,"score_gpt":0.3862052318688989,"score_spread":0.2965393997004668,"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."}}