{"id":"W2072110012","doi":"10.1016/j.neuropsychologia.2009.06.004","title":"A comparative case study of face recognition: The contribution of configural and part-based recognition systems, and their interaction","year":2009,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Baycrest Hospital; University of Toronto; York University","funders":"","keywords":"Psychology; Visual agnosia; Facial recognition system; Agnosia; Cognitive psychology; Cognitive neuroscience of visual object recognition; Face perception; Face (sociological concept); Perception; Gestalt psychology; Object (grammar); Communication; Pattern recognition (psychology); Artificial intelligence; Neuroscience; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0002469548,0.0001459103,0.000246735,0.00008973885,0.0001436262,0.00004301867,0.00005553449,0.0000618196,0.00003964698],"category_scores_gemma":[0.000156375,0.0001005792,0.00003075086,0.0002121461,0.0001649124,0.0001623848,0.000009692068,0.0002039222,0.000009838285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001010114,"about_ca_system_score_gemma":0.000008365269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004821804,"about_ca_topic_score_gemma":0.00002258565,"domain_scores_codex":[0.9982316,0.0008537155,0.000358851,0.0003173172,0.0001179827,0.0001205552],"domain_scores_gemma":[0.9988834,0.0004441022,0.0003080621,0.0001532732,0.0001668056,0.00004440332],"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":[0.002363168,0.002686821,0.001004511,0.00006700985,0.00003318263,0.0001840136,0.01215785,0.0001116881,0.8264273,0.00004934903,0.0004895292,0.1544255],"study_design_scores_gemma":[0.02948125,0.04805264,0.1659908,0.001113032,0.0005095181,0.02139024,0.2228484,0.03033694,0.4754328,0.001054302,0.00174584,0.002044249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997875,0.00003302957,0.0001787165,0.0001883516,0.0002754468,0.0008968822,0.00009173181,0.00004209371,0.0004187514],"genre_scores_gemma":[0.9994696,0.00005208683,0.000006052084,0.0003870153,0.00002710829,0.00002701732,0.00002086324,0.00000496829,0.00000531818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3509945,"threshold_uncertainty_score":0.41015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1662696166521505,"score_gpt":0.3620369094950345,"score_spread":0.195767292842884,"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."}}