{"id":"W2921903183","doi":"10.1097/hjh.0000000000002075","title":"Coronary heart disease diagnosis by artificial neural networks including aortic pulse wave velocity index and clinical parameters","year":2019,"lang":"en","type":"article","venue":"Journal of Hypertension","topic":"Cardiovascular Health and Disease Prevention","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotel Dieu Hospital","funders":"","keywords":"Medicine; Pulse wave velocity; Cardiology; Internal medicine; Blood pressure; Multilayer perceptron; Artificial neural network; Aortic pressure; Pulse pressure; Hemodynamics; Machine learning; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007327158,0.0001339558,0.0005735504,0.00008864779,0.00008400813,0.00002322675,0.00003570854,0.0001115238,0.00003240715],"category_scores_gemma":[0.0004460766,0.0001054796,0.0004905927,0.000100636,0.00005726214,0.0001634904,0.00006013587,0.0004421694,0.000004999349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005881563,"about_ca_system_score_gemma":0.0001120747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002258224,"about_ca_topic_score_gemma":0.000001084731,"domain_scores_codex":[0.9982131,0.0002092289,0.0006928237,0.000211797,0.0004311107,0.0002419208],"domain_scores_gemma":[0.9983975,0.0002268029,0.0002263869,0.0002002072,0.0001767554,0.0007723528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006506308,0.0005910003,0.8849136,0.0001208891,0.0002069423,0.0006869957,0.00001227774,0.0002442868,0.0002581073,0.000001409541,0.003353939,0.1031043],"study_design_scores_gemma":[0.003059108,0.0003939398,0.9183153,0.0002312497,0.0007106112,0.0007070295,0.00003681241,0.07612211,0.00001065269,0.0001091056,0.0001932613,0.0001108328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914795,0.004885664,0.0003164779,0.002204048,0.0007642451,0.0003316441,0.000003074843,0.00001151343,0.000003860753],"genre_scores_gemma":[0.9955348,0.000853327,0.0001210479,0.003128636,0.0003217059,0.000003062805,0.00001396981,0.00001734132,0.000006149221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1029934,"threshold_uncertainty_score":0.4301333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06282386911400782,"score_gpt":0.3190656847648408,"score_spread":0.2562418156508329,"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."}}