{"id":"W3129124857","doi":"10.1136/openhrt-2020-001499","title":"Health-related quality of life 1–3 years post-myocardial infarction: its impact on prognosis","year":2021,"lang":"en","type":"article","venue":"Open Heart","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heart Research Centre; St. Michael's Hospital","funders":"HLS Therapeutics; Servier; Astellas Pharma; Abiomed; Merit Medical Systems; Novo Nordisk; National Institute for Health and Care Research; Medicines Company; Regeneron Pharmaceuticals; Eli Lilly and Company; AstraZeneca; CSL Behring; Gilead Sciences; Daiichi Sankyo Europe; American Regent; Sanofi; Amgen; Pfizer; MicroPort; GlaxoSmithKline","keywords":"Medicine; Myocardial infarction; Observational study; Quality of life (healthcare); Stroke (engine); Unstable angina; Internal medicine; Angina; Mortality rate; Comorbidity; Physical therapy; Emergency medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00207243,0.0005510871,0.0006025907,0.0006180191,0.0002175094,0.0006898893,0.0004613654,0.0007683877,0.001829456],"category_scores_gemma":[0.004574724,0.0001537901,0.0009981428,0.001056254,0.0003683683,0.0005529104,0.0007232802,0.0009027971,0.0003144206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003285999,"about_ca_system_score_gemma":0.0002326571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360033,"about_ca_topic_score_gemma":0.002501998,"domain_scores_codex":[0.9992902,0.0002909161,0.00005390693,0.0001134287,0.0001303626,0.0001210932],"domain_scores_gemma":[0.9969828,0.0005854953,0.001810073,0.0001125692,0.0001745574,0.0003344917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005165017,0.00005897748,0.9966106,0.00004132713,0.0002218368,0.00002657383,0.00002206947,0.0001923791,0.0000681882,0.00001345456,0.0001357008,0.002092337],"study_design_scores_gemma":[0.00001635874,0.0002044421,0.9992574,0.0000122225,0.00008038988,0.00006508606,0.00002106267,0.0002113399,0.00002137445,0.00001683831,0.00008982304,0.000003604976],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994553,0.002374348,0.0001555946,0.000199581,0.00001885245,0.00001791108,0.001920289,0.000006630361,0.0007538286],"genre_scores_gemma":[0.9983839,0.0003320017,0.0000895994,0.00003322204,0.00002690752,0.00001258428,0.001012667,0.000001338772,0.0001078176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002360033,"threshold_uncertainty_score":0.01096016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06679583592448532,"score_gpt":0.4348468527913572,"score_spread":0.3680510168668719,"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."}}