{"id":"W4244068666","doi":"10.31234/osf.io/2deap","title":"Super-Recognizers: More Consistent or Qualitatively Different Psychophysical Profiles?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Neurotypical; Computer science; Cognitive psychology; Exploit; Matching (statistics); Population; Artificial intelligence; Psychology; Developmental psychology; Statistics; Mathematics","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":[0.001697674,0.0005812041,0.0006341801,0.001326003,0.000195787,0.0007731627,0.00058074,0.0004887867,0.002471671],"category_scores_gemma":[0.005845855,0.0002698977,0.0003247753,0.0002283507,0.001487205,0.0008331803,0.001374092,0.0007790556,0.0004421445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839571,"about_ca_system_score_gemma":0.000147231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004403919,"about_ca_topic_score_gemma":0.0004257839,"domain_scores_codex":[0.998691,0.0001715853,0.0001587168,0.0004699325,0.0003785269,0.0001303468],"domain_scores_gemma":[0.9960622,0.001005171,0.001056765,0.001190226,0.0003473897,0.0003381876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001160592,0.0002864676,0.1790389,0.0001734246,0.0002939218,0.0008983377,0.003180084,0.0005376339,0.7613344,0.002025002,0.0004354222,0.05063572],"study_design_scores_gemma":[0.00002747393,0.001010147,0.9337063,0.0000265509,0.0001250114,0.00305957,0.001079185,0.001574139,0.05515546,0.003282655,0.0008971862,0.00005623651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99461,0.0001583492,0.003398647,0.00006581528,0.00001378774,0.00001806124,0.0001215031,0.00007548666,0.001538421],"genre_scores_gemma":[0.9978456,0.00004475555,0.001479825,0.00006116297,0.00000834671,0.00001559674,0.0001263601,0.00003954058,0.0003788035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002471671,"threshold_uncertainty_score":0.008978248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047675867846103,"score_gpt":0.398772073582446,"score_spread":0.1940044867978357,"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."}}