{"id":"W3215697921","doi":"10.1080/13506285.2021.2002994","title":"Learning and recognizing facial identity in variable images: New insights from older adults","year":2021,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Psychology; Facial recognition system; Identity (music); Cognitive psychology; Perception; Face perception; Task (project management); Recognition memory; Face (sociological concept); Developmental psychology; Coding (social sciences); Cognition; Pattern recognition (psychology); Linguistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006229322,0.0002956221,0.0003489714,0.0006454763,0.0003339674,0.0005505668,0.0002060068,0.0005000722,0.00110392],"category_scores_gemma":[0.001192848,0.0001228283,0.0001562151,0.0002641202,0.0004640204,0.0007590414,0.0004217646,0.0005112189,0.0002972616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001729869,"about_ca_system_score_gemma":0.0001416052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959482,"about_ca_topic_score_gemma":0.006942645,"domain_scores_codex":[0.9998783,0.0000136492,0.00001175652,0.00003578142,0.00004226074,0.00001820705],"domain_scores_gemma":[0.9997286,0.00004932682,0.00004882814,0.00003603085,0.00008104444,0.00005605765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008471652,0.0009547862,0.705573,0.0003555049,0.00008373157,0.003171557,0.04441946,0.0001721989,0.06867541,0.0009659681,0.00225861,0.1725225],"study_design_scores_gemma":[0.00001069473,0.0004811157,0.985599,0.00003568588,0.00002877739,0.002536859,0.00422892,0.0002195749,0.002511595,0.0007858288,0.003543787,0.00001805025],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972855,0.0007741065,0.0004022146,0.0001074686,0.00001064325,0.000010464,0.0001251898,0.000004597173,0.001279844],"genre_scores_gemma":[0.9966749,0.0008654327,0.0007429122,0.0001840742,0.00003868603,0.00001401863,0.0001704427,0.000005189193,0.001304309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003959482,"threshold_uncertainty_score":0.00787288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226260063547463,"score_gpt":0.3176160027780239,"score_spread":0.2853534021425492,"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."}}