{"id":"W2980587554","doi":"10.1016/j.neures.2019.10.002","title":"Why context matters? Divisive normalization and canonical microcircuits in psychiatric disorders","year":2019,"lang":"en","type":"review","venue":"Neuroscience Research","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Normalization (sociology); Context (archaeology); Schizophrenia (object-oriented programming); Neuroscience; Psychology; Cognitive psychology; Psychiatry; Biology","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":[0.0008601492,0.0008097432,0.001296019,0.001359299,0.0002834425,0.001640777,0.000911524,0.001882061,0.003018629],"category_scores_gemma":[0.001270707,0.0002881327,0.0004419296,0.001764089,0.002058697,0.002215986,0.001000689,0.002381665,0.001266447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009781562,"about_ca_system_score_gemma":0.001694512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001640949,"about_ca_topic_score_gemma":0.002660193,"domain_scores_codex":[0.9998404,0.00003861266,0.00002345362,0.00003941321,0.00003984105,0.00001824007],"domain_scores_gemma":[0.9996202,0.0002337403,0.00003796091,0.00001410125,0.00006916984,0.00002483367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001350812,0.0000380538,0.0003044024,0.008525587,0.0001169471,0.0002863692,0.0001504018,0.0005424208,0.000995916,0.03207755,0.03365061,0.9231766],"study_design_scores_gemma":[0.00004596195,0.00007815387,0.001967192,0.004676222,0.0001970797,0.002079847,0.0001890483,0.0003524614,0.0006724412,0.05807169,0.9316147,0.0000553015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001217485,0.9978837,0.0002583568,0.0007208649,0.0002111319,0.000001851549,0.00001404563,0.000005558628,0.0007825344],"genre_scores_gemma":[0.001619445,0.9963843,0.0002729383,0.0004997157,0.0006478295,0.000005677807,0.0000233562,0.000002937545,0.0005437653],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003018629,"threshold_uncertainty_score":0.01009828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1648106560643644,"score_gpt":0.4181572869667706,"score_spread":0.2533466309024062,"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."}}