{"id":"W4249933152","doi":"10.31234/osf.io/vnhaf","title":"The molecular pathophysiology of mood disorders: from the analysis of single molecular layers to multi-omic integration.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Université de Paris; Centre National de la Recherche Scientifique; Fondation de France; Université de Strasbourg; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche; American Foundation for Suicide Prevention","keywords":"Omics; Data science; Computer science; Computational biology; Mood disorders; Bioinformatics; Medicine; Biology; Psychiatry","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":[0.003481804,0.0009995092,0.00155309,0.005053408,0.0004512538,0.002869702,0.0008293347,0.0008913029,0.001570119],"category_scores_gemma":[0.005377167,0.0003411495,0.001638309,0.003791027,0.001501812,0.002801819,0.001797702,0.001558455,0.0004783223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013873,"about_ca_system_score_gemma":0.002653741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00203482,"about_ca_topic_score_gemma":0.002433973,"domain_scores_codex":[0.998845,0.0004135499,0.0001428592,0.0002308461,0.0003277373,0.00003998141],"domain_scores_gemma":[0.9969098,0.002125946,0.0003919695,0.0001766464,0.0002986406,0.0000970338],"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":[0.0004386445,0.00007062071,0.01976557,0.03714413,0.002719366,0.0007168956,0.00161522,0.002087809,0.01213069,0.04915133,0.01619661,0.8579632],"study_design_scores_gemma":[0.0001063791,0.0004635651,0.103888,0.02515984,0.005915031,0.004343251,0.003367458,0.004749726,0.01259173,0.329591,0.509469,0.0003549802],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007692411,0.9475219,0.02984964,0.008860554,0.0007217532,0.0000737486,0.00181325,0.0001744801,0.003292293],"genre_scores_gemma":[0.07353792,0.8630393,0.05318627,0.005311772,0.001088561,0.0002275282,0.002469357,0.00006087377,0.001078391],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005053408,"threshold_uncertainty_score":0.01841378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007902243220541257,"score_gpt":0.2342389950097719,"score_spread":0.2263367517892307,"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."}}