{"id":"W2951306935","doi":"10.1101/092015","title":"Cannabis use and risk of schizophrenia: a Mendelian randomization study","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cannabis and Cannabinoid Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Thrombosis and Atherosclerosis Research Institute; McMaster University; Population Health Research Institute","funders":"Medical Research Council; Northwest Regional Development Agency; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of North Carolina at Chapel Hill; Llywodraeth Cymru; Scottish Government; British Heart Foundation; Wellcome Trust","keywords":"Mendelian randomization; Cannabis; Schizophrenia (object-oriented programming); Observational study; Psychiatry; Meta-analysis; Medicine; Psychosis; Psychology; Internal medicine; Genetics; Biology; Genetic variants; 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":[0.0148986,0.0008621464,0.001322357,0.001037111,0.0005652573,0.0007880027,0.0008049863,0.0009849591,0.002773391],"category_scores_gemma":[0.0402331,0.0006531539,0.002595617,0.001599409,0.000706025,0.0004245008,0.0004775125,0.0006774738,0.0002439861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005512764,"about_ca_system_score_gemma":0.0008003771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002805576,"about_ca_topic_score_gemma":0.001597735,"domain_scores_codex":[0.9784912,0.01644022,0.001246501,0.002099069,0.001409219,0.0003138885],"domain_scores_gemma":[0.9817615,0.01053924,0.003261897,0.00348042,0.000687551,0.0002694009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.06454351,0.00104833,0.8006263,0.001926832,0.05616738,0.003718662,0.0008874392,0.005728878,0.01071692,0.008473421,0.003386148,0.04277613],"study_design_scores_gemma":[0.03324629,0.017715,0.7556798,0.0006687047,0.06478354,0.01207683,0.0004575836,0.07623276,0.004377909,0.02416123,0.01012233,0.0004780494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9366217,0.005249453,0.05291506,0.0005249245,0.0001997507,0.001331154,0.001399493,0.0002622987,0.001496195],"genre_scores_gemma":[0.9909928,0.0004389955,0.007532596,0.0001138977,0.00003606891,0.0003934832,0.0002588091,0.00002261884,0.000210777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148986,"threshold_uncertainty_score":0.07879227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01507861848605292,"score_gpt":0.2506883781340746,"score_spread":0.2356097596480217,"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."}}