{"id":"W2902977899","doi":"10.3389/fphar.2018.01417","title":"Corrigendum: Confused Connections? Targeting White Matter to Address Treatment Resistant Schizophrenia","year":2018,"lang":"en","type":"erratum","venue":"Frontiers in Pharmacology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Paragraph; Citation; Schizophrenia (object-oriented programming); Section (typography); First line; White paper; Medicine; Psychology; Computer science; Psychiatry; Library science; Political science; Internal medicine; World Wide Web; Law","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":[0.004288035,0.002514624,0.002141466,0.003316783,0.003046553,0.003935463,0.003632806,0.00810735,0.06315256],"category_scores_gemma":[0.06063528,0.001090261,0.002394522,0.002067629,0.002930469,0.0027827,0.001881744,0.01180143,0.05520436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004694438,"about_ca_system_score_gemma":0.0042303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871003,"about_ca_topic_score_gemma":0.02080047,"domain_scores_codex":[0.9953505,0.0006538018,0.00102151,0.0008098367,0.001814684,0.0003496503],"domain_scores_gemma":[0.9649968,0.00925049,0.001712988,0.002114958,0.02079763,0.00112722],"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":[0.00001231103,0.000004930903,0.00001855461,0.00006755662,0.000004381259,0.00006845701,0.000008140351,0.00001273229,0.00001773366,0.0004213315,0.996824,0.002539729],"study_design_scores_gemma":[0.0000341245,0.0000343988,0.0005596514,0.0005529393,0.00004337412,0.0003770143,0.00005333398,0.0001408585,0.0003385798,0.002754353,0.9950712,0.00004007267],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00005305109,0.001313082,0.0005850468,0.05653535,0.9359679,0.00002841706,0.0007666365,0.0004199994,0.004330505],"genre_scores_gemma":[0.00605972,0.01183056,0.004202865,0.2389134,0.4575869,0.0004173766,0.002101533,0.001623806,0.2772639],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06315256,"threshold_uncertainty_score":0.2112663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912618153611289,"score_gpt":0.3419070867384778,"score_spread":0.2927809052023649,"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."}}