{"id":"W4313447916","doi":"10.32920/21758270.v1","title":"An investigation of the effect of race-based social categorization on adults’ recognition of emotion","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Toronto Metropolitan University; University Health Network","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Categorization; Race (biology); Psychology; Emotion recognition; Context (archaeology); White (mutation); Emotion classification; Social psychology; Social group; Cognitive psychology; Sociology; Geography; Gender studies; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001263894,0.0002327024,0.0002159243,0.0001879577,0.0004901773,0.0007251481,0.0002449933,0.0003270002,0.003620724],"category_scores_gemma":[0.005204969,0.0001412261,0.000163552,0.0001106378,0.0006117637,0.0005277855,0.0004680672,0.00038941,0.000338533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432353,"about_ca_system_score_gemma":0.0005010267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01346788,"about_ca_topic_score_gemma":0.0245156,"domain_scores_codex":[0.9995304,0.0001047981,0.00002197491,0.0001509411,0.0001314938,0.00006035696],"domain_scores_gemma":[0.9968579,0.00115231,0.0007391282,0.0003000004,0.0004072234,0.000543343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01211737,0.003680016,0.6468062,0.0001998809,0.0002397963,0.000478894,0.0336375,0.0001639669,0.2229913,0.001212157,0.001626901,0.07684606],"study_design_scores_gemma":[0.00003641807,0.0009940806,0.9932766,0.000007096362,0.00002926927,0.00008419085,0.001695716,0.0001797028,0.003044562,0.000157802,0.0004832358,0.00001139883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983814,0.00002684187,0.00006934961,0.00003307657,0.000006816512,0.000008560411,0.00002882473,0.000001410411,0.001443833],"genre_scores_gemma":[0.9985869,0.00002484143,0.0002546814,0.00004325718,0.000004782613,0.00001770647,0.0000479851,0.000003317685,0.001016514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01346788,"threshold_uncertainty_score":0.026779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803855771639482,"score_gpt":0.2929849654790166,"score_spread":0.2449464077626218,"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."}}