{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001461756,0.00007353633,0.00007340657,0.0001336766,0.00007716374,0.001014951,0.000288334,0.00002516612,0.0002445467],"category_scores_gemma":[0.00001244639,0.00005856637,0.000074507,0.0005820597,0.00001206942,0.001016318,0.0001313606,0.000110038,0.0007598858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002311395,"about_ca_system_score_gemma":0.00003462591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000250274,"about_ca_topic_score_gemma":0.000008184021,"domain_scores_codex":[0.9992971,0.00001489196,0.00009955953,0.0002636843,0.0001681029,0.0001566666],"domain_scores_gemma":[0.9997057,0.00002474141,0.000009291299,0.0001763061,0.00001804213,0.0000659412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.270651e-7,0.00003513075,0.0006581465,0.00007740228,0.0001406321,0.0001042698,0.001153198,0.001296805,0.01043966,0.06094184,0.008676262,0.9164758],"study_design_scores_gemma":[0.000121976,0.00002189505,0.0003954316,0.0001669412,0.00001906096,0.00002740485,0.000273706,0.8847941,0.02795529,0.001506817,0.0843588,0.0003585926],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02809896,0.0008263105,0.9399058,0.002116691,0.0002973858,0.00003249106,0.000001465168,0.0004933087,0.02822762],"genre_scores_gemma":[0.9683893,0.00003086987,0.02071965,0.0002349785,0.00003386729,0.000003877567,0.000001836675,0.000005572158,0.01057999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9402904,"threshold_uncertainty_score":0.9787197,"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."}}