{"id":"W2944122075","doi":"10.1101/630178","title":"Association of Obesity with Health Care Costs: A Mendelian Randomization study","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Mendelian randomization; Instrumental variable; Body mass index; Observational study; Obesity; Health care; Econometrics; Medicine; Causal inference; Demography; Statistics; Economics; Mathematics; Biology; Genotype; Genetics; Internal medicine; Genetic variants","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":[0.03780794,0.001129949,0.002148344,0.001556708,0.0007683109,0.001540687,0.001361584,0.001725584,0.00426822],"category_scores_gemma":[0.08263107,0.0007653069,0.002871384,0.002034997,0.001580621,0.0007364426,0.0008059377,0.001110305,0.0003944011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006055604,"about_ca_system_score_gemma":0.0008922648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797857,"about_ca_topic_score_gemma":0.001123417,"domain_scores_codex":[0.9559436,0.03723381,0.001494026,0.002993102,0.001810017,0.0005254509],"domain_scores_gemma":[0.9359712,0.04678923,0.004824886,0.01114863,0.0008384963,0.0004275623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05041575,0.002607596,0.6665382,0.001130282,0.03414486,0.008115571,0.001348181,0.02225987,0.01013735,0.1011052,0.008850472,0.09334667],"study_design_scores_gemma":[0.03965049,0.01113664,0.3283906,0.0005682643,0.02894813,0.01459051,0.0005747529,0.3923479,0.007973387,0.159178,0.01606342,0.0005778634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7910461,0.0020654,0.1997335,0.001436251,0.0003090414,0.001167054,0.001205147,0.0005174216,0.002520013],"genre_scores_gemma":[0.9634843,0.0003809874,0.03361709,0.0004257424,0.0001132025,0.0006616403,0.000423326,0.00008939524,0.0008042311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03780794,"threshold_uncertainty_score":0.1999499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418152859360038,"score_gpt":0.2350680103230658,"score_spread":0.2276498574637058,"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."}}