{"id":"W4389719238","doi":"10.1101/2023.12.13.571526","title":"Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bipolar Disorder and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Toronto","funders":"Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; Fondation FondaMental; Terry Fox Foundation; University of Ottawa","keywords":"Bipolar disorder; Metabolic syndrome; Cohort; Internal medicine; Medicine; Population; Cohort study; Bipolar I disorder; Mitochondrial disease; Psychiatry; Mitochondrial DNA; Biology; Mania; Genetics; Lithium (medication)","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":[0.0007306503,0.0003531818,0.0003348738,0.0005734698,0.0002475017,0.0007502371,0.0001358858,0.0002628303,0.00244157],"category_scores_gemma":[0.00154339,0.0001434898,0.0002701513,0.000725715,0.0001669359,0.0002246499,0.000291591,0.0003672116,0.0002051096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035364,"about_ca_system_score_gemma":0.00025977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162811,"about_ca_topic_score_gemma":0.004409546,"domain_scores_codex":[0.9997266,0.0001147719,0.00002671637,0.00005017619,0.0000478081,0.00003397209],"domain_scores_gemma":[0.9993861,0.0001084828,0.0003167475,0.00002911848,0.00008609601,0.00007334039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006410701,0.00004199666,0.9856402,0.00005250709,0.0001575207,0.0001232828,0.00005869327,0.0001224284,0.001631135,0.00009345558,0.0002834746,0.01115417],"study_design_scores_gemma":[0.00002040904,0.0001399888,0.9984621,0.00004560488,0.00007286402,0.0001833997,0.00009479807,0.0002452484,0.0002034098,0.0001926709,0.0003351619,0.000004426692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916635,0.005229916,0.0004337976,0.0005620049,0.00005141032,0.00002739954,0.0006368556,0.00001256201,0.001382551],"genre_scores_gemma":[0.9978769,0.0008950468,0.000419015,0.0001014103,0.0000433075,0.00001196785,0.0003367959,0.000003010339,0.0003124838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003162811,"threshold_uncertainty_score":0.008167803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462230536801446,"score_gpt":0.2354578825542954,"score_spread":0.220835577186281,"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."}}