{"id":"W4402274452","doi":"10.2139/ssrn.4947575","title":"A Criterion-Placement Theory of Face Matching","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Face (sociological concept); Matching (statistics); Computer science; Artificial intelligence; Mathematical economics; Mathematics; Statistics; Philosophy; Linguistics","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002713199,0.0002506594,0.0003854693,0.0004032356,0.0001034244,0.0003400807,0.0011283,0.000136896,0.00006257997],"category_scores_gemma":[0.00002793023,0.0002133497,0.0004799431,0.0002909127,0.00003180628,0.0001199508,0.001165503,0.003932789,0.00009903275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006480759,"about_ca_system_score_gemma":0.002640736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000274073,"about_ca_topic_score_gemma":0.00005184997,"domain_scores_codex":[0.9971101,0.0002430172,0.0004989071,0.0004123804,0.0004665937,0.001269014],"domain_scores_gemma":[0.998996,0.00006486643,0.0003140712,0.0004138432,0.0001247593,0.00008644235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001813124,0.0001001745,0.000006652252,0.0002011405,0.001308791,0.00001905208,0.001970139,0.002385804,0.001050048,0.8173535,0.0001675299,0.175419],"study_design_scores_gemma":[0.0001421608,0.00007376618,0.000004024705,0.0003228421,0.0001179998,0.0001937044,0.001591444,0.006490889,0.0004209018,0.9902218,0.0001946669,0.0002258261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02322727,0.01016956,0.9623943,0.002103559,0.0007549953,0.0001170605,0.000008230432,0.00009077893,0.001134272],"genre_scores_gemma":[0.9875954,0.006096252,0.002706336,0.0001422025,0.0001787033,0.00001017932,0.000006461178,0.00002546857,0.003238944],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9643682,"threshold_uncertainty_score":0.9983652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198623248280704,"score_gpt":0.2634034501363267,"score_spread":0.2514172176535196,"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."}}