{"id":"W2031294184","doi":"10.1037/0012-1649.42.3.500","title":"Children's use of frequency information for trait categorization and behavioral prediction.","year":2006,"lang":"en","type":"article","venue":"Developmental Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Attribution; Categorization; Personality; Trait; Developmental psychology; Attribution bias; Big Five personality traits; Information processing; Negativity effect; Social psychology; Cognitive psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001196834,0.0001475467,0.0001735948,0.0001847451,0.0001016845,0.00002489376,0.00007745092,0.0001496109,0.0001836247],"category_scores_gemma":[0.00001296591,0.0001505635,0.00003966763,0.0001472398,0.00009295688,0.0003078603,0.00002018868,0.00009694102,0.00002804931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003699856,"about_ca_system_score_gemma":0.00003313114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002459466,"about_ca_topic_score_gemma":0.00001971283,"domain_scores_codex":[0.9989065,0.00003207798,0.0004832032,0.000252314,0.00009950067,0.0002264144],"domain_scores_gemma":[0.9995961,0.00003048777,0.0001675948,0.0000965129,0.00006745405,0.00004191515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001709209,0.0003641714,0.9206574,0.00001668446,0.00007406489,0.000001557145,0.001773296,0.000004780272,0.00230794,0.02315843,0.01599678,0.03547398],"study_design_scores_gemma":[0.001249596,0.0001878895,0.9859805,0.000008522725,0.00001687736,0.00007582858,0.0000843119,0.000003075377,0.0001133084,0.000662922,0.01146708,0.0001501336],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894905,0.00004044742,0.005364085,0.0001569281,0.0005783356,0.0005050107,0.0002089978,0.00007566693,0.003580022],"genre_scores_gemma":[0.9839789,0.000005734022,0.01395257,0.0002672577,0.0000920189,0.00007745531,0.001329177,0.00001536025,0.0002814759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06532307,"threshold_uncertainty_score":0.6139801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272671764637726,"score_gpt":0.2954105609636505,"score_spread":0.268143384499878,"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."}}