{"id":"W3133799349","doi":"10.1101/2021.03.05.21252911","title":"Genetic heterogeneity and subtypes of major depression","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Institute of Mental Health; Uppsala Multidisciplinary Center for Advanced Computational Science; European Commission; Vetenskapsrådet; University of Manitoba; National Alliance for Research on Schizophrenia and Depression","keywords":"Heritability; Genetic correlation; Genetic heterogeneity; SNP; Genome-wide association study; Biology; Genetics; Correlation; Genetic association; Depression (economics); Cohort; Genetic variation; Phenotype; Single-nucleotide polymorphism; Medicine; Genotype; Gene; Internal medicine","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":[0.0008474276,0.0001865601,0.0003277696,0.0007592262,0.0002890941,0.0005298735,0.0003540164,0.0003170919,0.001315941],"category_scores_gemma":[0.002661461,0.0001531167,0.0003633708,0.0006958062,0.0002990972,0.0001729913,0.0004328825,0.0002607228,0.0001402002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382978,"about_ca_system_score_gemma":0.0001189188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005296333,"about_ca_topic_score_gemma":0.004142695,"domain_scores_codex":[0.9992911,0.0002558192,0.000076681,0.000195476,0.0001153513,0.00006560801],"domain_scores_gemma":[0.9990351,0.0003120801,0.0003702422,0.000127419,0.00008122538,0.00007388415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002500931,0.00002208438,0.9926602,0.00001709404,0.0003312365,0.0002313976,0.000219439,0.0001995073,0.00230526,0.0002429631,0.0001558513,0.00336488],"study_design_scores_gemma":[0.000008174916,0.00002715886,0.9986584,0.000009884001,0.00004253041,0.0003104962,0.0001114075,0.0003191305,0.000135067,0.0002659287,0.0001087926,0.000003032969],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988097,0.0002522179,0.0002579426,0.00003650141,0.00000262847,0.000008937407,0.0002259569,0.000002941241,0.0004031376],"genre_scores_gemma":[0.999572,0.00005987256,0.00009537634,0.000009589535,0.00000286784,0.000003372558,0.0001976197,0.000001322757,0.00005802599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005296333,"threshold_uncertainty_score":0.01053101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451293275732061,"score_gpt":0.2705902096928466,"score_spread":0.256077276935526,"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."}}