{"id":"W2061298455","doi":"10.1167/8.6.1143","title":"Brief adaptation increases sensitivity of face recognition","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Adaptation (eye); Contrast (vision); Stimulus (psychology); Facilitation; Face (sociological concept); Psychology; Discriminative model; Pattern recognition (psychology); Artificial intelligence; Computer science; Cognitive psychology; Neuroscience","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":[0.0001755983,0.0002423375,0.0003138791,0.000156994,0.00009648743,0.0002441883,0.0001730304,0.0003573157,0.002742477],"category_scores_gemma":[0.0007546933,0.0001944025,0.0003138809,0.00007804595,0.000175754,0.0003107619,0.0004817381,0.0005874002,0.0002624312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681633,"about_ca_system_score_gemma":0.0001231001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007505349,"about_ca_topic_score_gemma":0.000694739,"domain_scores_codex":[0.9998374,0.00001709264,0.00001259057,0.00004959807,0.0000451487,0.0000380815],"domain_scores_gemma":[0.9995288,0.0001973057,0.00008391211,0.00007555897,0.00004221278,0.00007227511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001225691,0.00002472276,0.0007316258,0.00002911653,0.00000833052,0.00002956097,0.0000208721,0.00006593571,0.9957184,0.00002514163,0.00001980474,0.003203953],"study_design_scores_gemma":[0.00002449647,0.002240391,0.3736419,0.00002014344,0.00006178389,0.0006287735,0.00005550021,0.003055107,0.6180925,0.0003623344,0.001783421,0.00003378099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960496,0.000743108,0.001981928,0.00004127311,0.00002571737,0.00001493865,0.00003706924,0.00005063643,0.001055722],"genre_scores_gemma":[0.9976544,0.0002669235,0.001101502,0.00009923072,0.00001671278,0.00001661604,0.00007003259,0.00001690182,0.0007576328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002742477,"threshold_uncertainty_score":0.009174466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0537650618699709,"score_gpt":0.3156892845090721,"score_spread":0.2619242226391012,"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."}}