{"id":"W4362456272","doi":"10.1521/soco.2023.41.2.103","title":"Accuracy and Consistency in Social Categorization Across Context, Motivation, and Time","year":2023,"lang":"en","type":"article","venue":"Social Cognition","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Categorization; Psychology; Consistency (knowledge bases); Perception; Cognitive psychology; Social psychology; Social perception; Snapshot (computer storage); Artificial intelligence; Computer science","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":[0.01043324,0.000311805,0.0004829172,0.001454179,0.0004817857,0.002109667,0.0006286426,0.0008790864,0.002046382],"category_scores_gemma":[0.06610645,0.0003124955,0.0003961505,0.000795855,0.001243642,0.002382064,0.001573988,0.0006941123,0.000481697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000379741,"about_ca_system_score_gemma":0.0001765127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171477,"about_ca_topic_score_gemma":0.002667902,"domain_scores_codex":[0.9945955,0.002046537,0.0004567487,0.001547729,0.001053411,0.000300125],"domain_scores_gemma":[0.938747,0.03672622,0.009296116,0.009907794,0.004542995,0.0007797351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00141367,0.0002145602,0.9298015,0.0001355571,0.0006740429,0.0001061308,0.004443675,0.001777362,0.01103592,0.0008925858,0.0007126258,0.04879225],"study_design_scores_gemma":[0.00001314212,0.000192255,0.9892026,0.00002632747,0.00006379429,0.0001912126,0.001029732,0.005195318,0.002040555,0.001530232,0.0004735369,0.00004125812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945381,0.0002366096,0.002175129,0.00004920034,0.00002880959,0.00002344571,0.0001288376,0.00002812609,0.002791658],"genre_scores_gemma":[0.9988667,0.00003416344,0.0005434004,0.00001742758,0.00001098053,0.00001215494,0.0001622354,0.00001556403,0.0003374927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043324,"threshold_uncertainty_score":0.05517691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06644514281562336,"score_gpt":0.3790856941943569,"score_spread":0.3126405513787336,"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."}}