{"id":"W3204121032","doi":"10.1016/j.jcin.2021.08.034","title":"Subphenotyping of Patients With Aortic Stenosis by Unsupervised Agglomerative Clustering of Echocardiographic and Hemodynamic Data","year":2021,"lang":"en","type":"article","venue":"JACC: Cardiovascular Interventions","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Technische Universität München; Else Kröner-Fresenius-Stiftung","keywords":"Medicine; Internal medicine; Cardiology; Stenosis; Regurgitation (circulation); Hemodynamics; Tricuspid stenosis","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":[0.000178052,0.0001903433,0.0008144152,0.0001483819,0.00006555495,0.00002084075,0.0001051329,0.00005667075,0.00003843885],"category_scores_gemma":[0.00006890107,0.0001684261,0.003593058,0.0004369274,0.0001028222,0.0001588748,0.0002540221,0.00009572388,0.000001273792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004105832,"about_ca_system_score_gemma":0.00005528294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355287,"about_ca_topic_score_gemma":0.00001060139,"domain_scores_codex":[0.9983458,0.0001395357,0.000428931,0.0004628304,0.0004395548,0.0001833322],"domain_scores_gemma":[0.9980903,0.00003573702,0.0001191669,0.001206392,0.00042827,0.000120161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001717501,0.001010188,0.9319485,0.00171748,0.04922057,0.00002119038,0.0001043404,0.0001912729,0.0001093349,0.00001393939,0.00007718716,0.01541429],"study_design_scores_gemma":[0.004529427,0.0002100255,0.9800472,0.001204684,0.01279422,0.000006635889,0.0003291873,0.0004552661,0.0001880392,0.00001250912,0.00005740464,0.0001653812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706109,0.01859643,0.0087718,0.00001984613,0.00008471537,0.0005117779,0.001214973,0.00002171353,0.0001678283],"genre_scores_gemma":[0.996554,0.0006425731,0.0008116498,0.00001311347,0.00001565023,0.00003094029,0.001877261,0.00003221773,0.00002261552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04809877,"threshold_uncertainty_score":0.6868217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168213407036732,"score_gpt":0.3000535538279153,"score_spread":0.2783714197575479,"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."}}