{"id":"W3157607278","doi":"10.1101/2021.05.01.21256220","title":"Genetic overlap between major depression, bipolar disorder and Alzheimer’s Disease","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Institutes of Health","keywords":"Bipolar disorder; Genome-wide association study; Genetic architecture; Pleiotropy; Mood disorders; Candidate gene; Mood; Depression (economics); Disease; Psychology; Genetics; Psychiatry; Medicine; Biology; Gene; Internal medicine; Phenotype; Single-nucleotide polymorphism; Genotype","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":[0.00123583,0.0003611302,0.000530298,0.001799951,0.0005324911,0.0006485716,0.0002748606,0.0003008417,0.001629597],"category_scores_gemma":[0.00233144,0.0002972347,0.0008536287,0.001881021,0.0003982151,0.0001673852,0.0006374209,0.0002870185,0.0001206613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000259307,"about_ca_system_score_gemma":0.0004234439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005839161,"about_ca_topic_score_gemma":0.009992887,"domain_scores_codex":[0.9984535,0.0005586154,0.0001875588,0.0004678023,0.0002122292,0.0001202513],"domain_scores_gemma":[0.9979618,0.0007551027,0.0007124825,0.0001942263,0.0001857162,0.0001907309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003093716,0.00001993646,0.9924921,0.00003936458,0.0008955701,0.0002603653,0.00007235463,0.000127939,0.002863023,0.0001121802,0.0001238957,0.00268384],"study_design_scores_gemma":[0.00001519168,0.00003216174,0.9986224,0.000009773491,0.0002594709,0.0003178603,0.0000533096,0.0002821923,0.0001500965,0.0001598109,0.00009407931,0.000003684362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975238,0.0008288691,0.0006288355,0.00006076418,0.000009061614,0.00001059168,0.0004075254,0.00001077712,0.0005197302],"genre_scores_gemma":[0.9990745,0.0001631702,0.0003790319,0.00002202437,0.00001130667,0.000006127903,0.0002819418,0.000003186578,0.00005871457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005839161,"threshold_uncertainty_score":0.01161039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784940548877627,"score_gpt":0.27513404220064,"score_spread":0.2572846367118637,"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."}}