{"id":"W2609403875","doi":"10.6084/m9.figshare.4220517.v1","title":"Young Adult White Faces with Manipulated Versions","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Face recognition and analysis","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"White (mutation); Psychology; Biology; Genetics","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":[0.0001424401,0.0003923934,0.0002212022,0.0005804628,0.0003090341,0.0003244219,0.0001815062,0.0002033888,0.05955151],"category_scores_gemma":[0.0006487305,0.0001433024,0.0001609314,0.0003872998,0.0001620967,0.0002682091,0.0004611834,0.0002299198,0.006341914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822123,"about_ca_system_score_gemma":0.0001065101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002408292,"about_ca_topic_score_gemma":0.003773934,"domain_scores_codex":[0.99989,0.000008367169,0.00000933531,0.00003088529,0.00004108183,0.00002033558],"domain_scores_gemma":[0.9998108,0.0000561845,0.00001198272,0.00004770518,0.0000570806,0.00001620993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003701354,0.0008333167,0.01095039,0.0006715169,0.00008476411,0.002807409,0.002256877,0.0008585661,0.4925615,0.002952158,0.07706492,0.4052571],"study_design_scores_gemma":[0.0002484579,0.001404379,0.4901733,0.0002138064,0.0002243939,0.01470388,0.003394122,0.007011427,0.2323645,0.002513902,0.2475398,0.0002081051],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8778027,0.0004311944,0.01486421,0.0003498248,0.0005423984,0.0007300995,0.02628672,0.001577878,0.07741503],"genre_scores_gemma":[0.8945664,0.000510342,0.02498293,0.0004648538,0.0001090022,0.0007864315,0.0211118,0.0009567434,0.0565115],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05955151,"threshold_uncertainty_score":0.1992196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441129238763604,"score_gpt":0.2474471077667559,"score_spread":0.2130358153791199,"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."}}