{"id":"W4392248628","doi":"10.1109/icce59016.2024.10444350","title":"ScholarFace: Scanning Faces, Discovering Minds","year":2024,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.001101806,0.0006302531,0.0004534396,0.001742698,0.001002928,0.002583438,0.0009167054,0.001463701,0.01080447],"category_scores_gemma":[0.005288268,0.0004493938,0.0007556803,0.0006235208,0.001342894,0.003609882,0.003048441,0.0009676053,0.005351638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004676988,"about_ca_system_score_gemma":0.0005034606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114625,"about_ca_topic_score_gemma":0.001874126,"domain_scores_codex":[0.9991853,0.0002302139,0.0000224551,0.0002354472,0.0002370779,0.00008949516],"domain_scores_gemma":[0.9990183,0.0004779004,0.00007920313,0.0001639911,0.0001605802,0.0001000986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004201675,0.0001131078,0.0070181,0.0004832869,0.00007190114,0.0005553804,0.004941213,0.003108562,0.05477327,0.02892143,0.04939618,0.8501974],"study_design_scores_gemma":[0.0001040183,0.0006433547,0.02440814,0.0008140401,0.0001985572,0.008897115,0.01199621,0.2128904,0.120045,0.3079826,0.3115401,0.0004804969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09388425,0.002690458,0.8431981,0.003337829,0.0009028649,0.0004273541,0.001793521,0.008943599,0.04482208],"genre_scores_gemma":[0.3718074,0.002079187,0.5953635,0.002067416,0.0005092751,0.0005299549,0.001418398,0.001184853,0.02503998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01080447,"threshold_uncertainty_score":0.03614455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263830462184628,"score_gpt":0.2599769315091452,"score_spread":0.2473386268872989,"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."}}