{"id":"W2170155279","doi":"10.1016/j.neuron.2013.08.012","title":"The Cerebral Emporium of Benevolent Knowledge","year":2013,"lang":"en","type":"letter","venue":"Neuron","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Psychology; Neuroscience; Cognitive psychology","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":[0.0004777258,0.0003380157,0.000375061,0.0004011209,0.00112005,0.00239325,0.0008549347,0.008367105,0.01138048],"category_scores_gemma":[0.003782804,0.0001885544,0.0003329441,0.0002428334,0.002881444,0.002532766,0.0006246867,0.007097416,0.002268873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526466,"about_ca_system_score_gemma":0.001068236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002402888,"about_ca_topic_score_gemma":0.004554507,"domain_scores_codex":[0.9998084,0.00004225742,0.00001146213,0.00004214377,0.00006491627,0.00003086296],"domain_scores_gemma":[0.9992027,0.0004775558,0.00004179377,0.00008662217,0.0001178,0.00007360277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007928098,0.00007138388,0.001843429,0.0002800208,0.00009129041,0.03637654,0.0006371205,0.0004820901,0.003471132,0.1880206,0.5778028,0.1901307],"study_design_scores_gemma":[0.0002096087,0.00009341264,0.005994708,0.0002797104,0.00005228907,0.03069613,0.000665511,0.003917714,0.003050115,0.5457766,0.4092057,0.00005847448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01945571,0.01449712,0.006256655,0.7853711,0.0359429,0.00002962465,0.0002577447,0.000197559,0.1379916],"genre_scores_gemma":[0.5196036,0.01296639,0.005493537,0.1414297,0.1096772,0.0001225078,0.0001699936,0.0001425852,0.2103945],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01138048,"threshold_uncertainty_score":0.03807157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05480279062342835,"score_gpt":0.2793870399470638,"score_spread":0.2245842493236355,"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."}}