{"id":"W7113394946","doi":"","title":"McGill Multiracial Face Database (MMRFD)","year":2025,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Face (sociological concept); Set (abstract data type); Data set; Ethnic group","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001051574,0.000983409,0.0005787208,0.002132189,0.0008706531,0.0006288556,0.001550738,0.0008369026,0.02995693],"category_scores_gemma":[0.003377904,0.0003065878,0.0005819993,0.001013542,0.0003916527,0.0005260058,0.00160377,0.0005804999,0.01732215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007464376,"about_ca_system_score_gemma":0.001100019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06031546,"about_ca_topic_score_gemma":0.09479826,"domain_scores_codex":[0.9989377,0.0001524733,0.00006591004,0.0002354333,0.0004866671,0.0001219088],"domain_scores_gemma":[0.9981276,0.0002549063,0.0000818089,0.0007268429,0.0006522384,0.0001564135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001481022,0.0006276084,0.01944594,0.0007322387,0.0002452297,0.0006306522,0.0003889817,0.002264945,0.05027923,0.002386892,0.6894756,0.2320416],"study_design_scores_gemma":[0.0006508491,0.0006231305,0.4993007,0.0002461709,0.0002751323,0.003774141,0.0008853455,0.03582029,0.04535596,0.002069238,0.4106203,0.0003787231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.2310257,0.001100034,0.02504096,0.0005117466,0.0004736725,0.001755865,0.6857093,0.009967985,0.0444148],"genre_scores_gemma":[0.2102504,0.000302638,0.0254524,0.0003817178,0.00007681697,0.001774256,0.7428676,0.000976785,0.01791732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06031546,"threshold_uncertainty_score":0.1199288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067031559734671,"score_gpt":0.2861520311142668,"score_spread":0.2654817155169201,"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."}}