{"id":"W4294376287","doi":"10.1161/jaha.122.026603","title":"Prediction of Cardiovascular Events by Pulse Waveform Parameters: Analysis of CARTaGENE","year":2022,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Hôpital Maisonneuve-Rosemont; Hôpital du Sacré-Cœur de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Mace; Cardiology; Internal medicine; Pulse pressure; Hazard ratio; Myocardial infarction; Pulse Wave Analysis; Cohort; Coronary artery disease; Population; Proportional hazards model; Arterial stiffness; Blood pressure; Pulse wave velocity; Stroke (engine); Confidence interval; Percutaneous coronary intervention","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":[0.002332633,0.0004440425,0.0005299592,0.001171157,0.0002369367,0.0009230174,0.0004916816,0.0004264363,0.002077783],"category_scores_gemma":[0.007287525,0.0002062236,0.0006946738,0.001129283,0.0002176361,0.0004691905,0.000604852,0.0004240048,0.0003787727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603448,"about_ca_system_score_gemma":0.0002848722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003162371,"about_ca_topic_score_gemma":0.002797468,"domain_scores_codex":[0.99906,0.0004029095,0.00005221285,0.0001970208,0.0002102416,0.00007771638],"domain_scores_gemma":[0.9958585,0.002135767,0.0008272889,0.0005125022,0.0003847515,0.0002811827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005844044,0.00002623193,0.9943175,0.00001320095,0.0002741097,0.00007884968,0.00003968791,0.0002409517,0.000344969,0.00003349354,0.0001484558,0.003898241],"study_design_scores_gemma":[0.00001994203,0.0001582752,0.9954677,0.000005211307,0.0001131938,0.0001642965,0.00003381156,0.003275373,0.0001846342,0.00009822789,0.000470326,0.000008990447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961643,0.0002947006,0.001333276,0.00004779629,0.00001289004,0.00002158947,0.001354691,0.00003239838,0.0007383199],"genre_scores_gemma":[0.9971749,0.00009722885,0.001063943,0.00002422074,0.00002307206,0.00002356336,0.001161111,0.00001263435,0.0004193684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003162371,"threshold_uncertainty_score":0.01233625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140932685901723,"score_gpt":0.2629255478437025,"score_spread":0.2488322792535302,"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."}}