{"id":"W2032839536","doi":"10.1167/8.6.156","title":"Processing upright and inverted faces in acquired prosopagnosic patients with no object recognition deficits","year":2010,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Psychology; Inversion (geology); ABX test; Cognitive psychology; Cognitive neuroscience of visual object recognition; Audiology; Communication; Pattern recognition (psychology); Artificial intelligence; Object (grammar); Computer science; Mathematics; Medicine; Statistics","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":[0.0002615886,0.001486042,0.0006643204,0.001203813,0.0004137243,0.0004989364,0.0003039942,0.0007353184,0.002768376],"category_scores_gemma":[0.00160432,0.0004452931,0.000445363,0.0003415195,0.001356205,0.0005668079,0.0006436884,0.0006071482,0.0003336988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003000792,"about_ca_system_score_gemma":0.0003351654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001687187,"about_ca_topic_score_gemma":0.001816133,"domain_scores_codex":[0.9997368,0.00001992955,0.0000509435,0.00008938996,0.00005305562,0.00004994182],"domain_scores_gemma":[0.9995146,0.0001434989,0.0001287864,0.00007081821,0.00004070713,0.0001015956],"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":[0.006381305,0.002028699,0.3800943,0.0003140168,0.0002568425,0.1750626,0.003807721,0.001296809,0.3832366,0.0006984129,0.0005403578,0.04628237],"study_design_scores_gemma":[0.0002335812,0.004273606,0.7667819,0.00002453939,0.0002107318,0.2033115,0.0009117977,0.001716807,0.02134381,0.0006887091,0.0004344806,0.0000686364],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999545,0.00001698297,0.00005885954,0.00001103834,0.000002058479,0.000007133734,0.0000273709,0.000005535539,0.0003260301],"genre_scores_gemma":[0.9994274,0.00003368741,0.0002267124,0.00002646143,0.000005506099,0.000009770239,0.00007455399,0.000005443415,0.0001903413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002768376,"threshold_uncertainty_score":0.009261131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204083934267349,"score_gpt":0.2712733835505203,"score_spread":0.2492325442078468,"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."}}