{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328936,0.0001437626,0.0009429007,0.00007656009,0.0001058426,0.00002371421,0.00007157241,0.0001213591,0.0006374331],"category_scores_gemma":[0.0003806543,0.0001303444,0.0002958469,0.0004098164,0.00003128148,0.0001027983,0.000096524,0.0003226364,0.0002383078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003155843,"about_ca_system_score_gemma":0.003915161,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007896981,"about_ca_topic_score_gemma":0.0001211933,"domain_scores_codex":[0.9975324,0.000461347,0.0008006348,0.0003332346,0.0004353001,0.0004371443],"domain_scores_gemma":[0.9981067,0.0001366281,0.0001781494,0.0003826024,0.0002428223,0.0009530902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01152394,0.003250127,0.7731233,0.003154089,0.0006014288,0.00009490943,0.002505457,0.00003057555,0.004929978,0.0008155118,0.1516978,0.04827299],"study_design_scores_gemma":[0.002517807,0.001548131,0.9801066,0.0002513519,0.00001933596,0.0001150749,0.0002185463,0.000004682636,0.0005121293,0.000009958508,0.01459052,0.0001058716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598979,0.000802797,3.357161e-7,0.02871344,0.0005423371,0.001530851,0.000141727,0.00003084045,0.008339756],"genre_scores_gemma":[0.9833301,0.0001968647,0.00018304,0.01529877,0.0001757744,0.00004823468,0.0001863317,0.0000239579,0.0005569831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2069833,"threshold_uncertainty_score":0.9987095,"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."}}