{"id":"W4409951968","doi":"10.1111/ene.70177","title":"Increased Risk of Myocardial Infarction in Inclusion Body Myositis: A Non‐Concurrent Cohort Study","year":2025,"lang":"en","type":"article","venue":"European Journal of Neurology","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute on Aging; Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston; Center for Clinical and Translational Science, Mayo Clinic","keywords":"Medicine; Myocardial infarction; Internal medicine; Hazard ratio; Cardiology; Population; Stroke (engine); Cohort; Heart failure; Physical therapy; Confidence interval","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":[0.001309386,0.0005393369,0.000511986,0.0005868893,0.0008952607,0.0009485141,0.0007030235,0.0004927262,0.001363856],"category_scores_gemma":[0.00235412,0.0005962899,0.0007016446,0.0008174957,0.0003332168,0.0003815284,0.0008664655,0.0007808119,0.0002376933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172216,"about_ca_system_score_gemma":0.0006211666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476444,"about_ca_topic_score_gemma":0.01973731,"domain_scores_codex":[0.9990125,0.0002520219,0.00008053944,0.0002629628,0.0002322733,0.0001598266],"domain_scores_gemma":[0.9983281,0.0001766617,0.000484847,0.0003726882,0.000258608,0.000379098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005508678,0.0001047055,0.9979134,0.00001063049,0.0001864349,0.0001097373,0.0001148192,0.00001598773,0.0003302869,0.00001536596,0.00006827643,0.000579543],"study_design_scores_gemma":[0.00004480072,0.0001841274,0.9989948,0.000005200993,0.0001227203,0.0002124567,0.00008712529,0.0001419143,0.00005401391,0.0000124482,0.0001367559,0.000003695784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992856,0.0001330039,0.00008742171,0.00001517576,0.000005634304,0.0000189665,0.0002316205,0.000002051361,0.0002206587],"genre_scores_gemma":[0.9992844,0.00008863009,0.00008546557,0.00001480125,0.00001100171,0.0000168627,0.0003240387,0.00000229978,0.0001725087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01476444,"threshold_uncertainty_score":0.02935696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004368090626231631,"score_gpt":0.2447983002769228,"score_spread":0.2404302096506912,"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."}}