{"id":"W4402636542","doi":"10.1101/2024.09.16.24313777","title":"Statin uses and skeletal muscle-related phenotypes: insights from epidemiological and Mendelian randomization analyses","year":2024,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Mendelian randomization; Mendelian inheritance; Phenotype; Epidemiology; Genetics; Statin; Biology; Computational biology; Bioinformatics; Medicine; Evolutionary biology; Internal medicine; Gene; 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":[0.04879884,0.0008063038,0.001452119,0.001715273,0.0003453087,0.001227298,0.001091074,0.001060826,0.001978612],"category_scores_gemma":[0.1040314,0.0004985183,0.002753198,0.00209256,0.0008970568,0.0007957083,0.0008579489,0.0007913075,0.0001716876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003709426,"about_ca_system_score_gemma":0.0008370716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001936823,"about_ca_topic_score_gemma":0.001199065,"domain_scores_codex":[0.923727,0.06747061,0.002535716,0.003824986,0.001960326,0.000481275],"domain_scores_gemma":[0.8883193,0.08718016,0.01320073,0.00948322,0.001435193,0.0003813042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00390188,0.0002175103,0.8848832,0.0007638641,0.03107069,0.001099372,0.0003949899,0.008351631,0.00105621,0.01551064,0.001656672,0.05109348],"study_design_scores_gemma":[0.002802316,0.002410502,0.6406245,0.0006534876,0.03473454,0.005050938,0.0004463363,0.2129988,0.001686663,0.09110095,0.007286713,0.0002043348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7638472,0.0130335,0.2163257,0.002058813,0.0001592538,0.0004722211,0.001360332,0.0004500689,0.002292804],"genre_scores_gemma":[0.9809675,0.0008553411,0.01716419,0.0002654023,0.0000710814,0.0002066636,0.0002930415,0.00002572493,0.0001511184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04879884,"threshold_uncertainty_score":0.258076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0457792940112316,"score_gpt":0.3283628221758904,"score_spread":0.2825835281646588,"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."}}