{"id":"W3034348006","doi":"10.1111/eci.13321","title":"Multi‐parametric system for risk stratification in mitral regurgitation: A multi‐task Gaussian prediction approach","year":2020,"lang":"en","type":"article","venue":"European Journal of Clinical Investigation","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Cardiology; Internal medicine; Atrial fibrillation; Ejection fraction; Mitral regurgitation; Heart failure; Cohort","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006883465,0.001025522,0.001477582,0.001361268,0.0004630079,0.001318206,0.001092309,0.001261578,0.001171066],"category_scores_gemma":[0.01043288,0.000375588,0.001527515,0.0007808491,0.0003881804,0.0006711803,0.001223351,0.001955483,0.0004157119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641226,"about_ca_system_score_gemma":0.001209994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006776041,"about_ca_topic_score_gemma":0.003489735,"domain_scores_codex":[0.9980124,0.001244211,0.0001158881,0.0003433888,0.0001347551,0.000149329],"domain_scores_gemma":[0.9947342,0.003984267,0.0003773671,0.0001828173,0.0005352298,0.0001861572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0014492,0.0008650235,0.04362249,0.0002010564,0.0009068236,0.0003510504,0.0003180248,0.7173498,0.001621112,0.00173386,0.00344869,0.2281329],"study_design_scores_gemma":[0.00001578877,0.00007356217,0.001627663,0.00001040098,0.00002379772,0.00002321616,0.00001167697,0.9970263,0.0000876723,0.0009984615,0.00009155815,0.000009917151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.24948,0.001708115,0.742644,0.002370799,0.0001566164,0.0002927436,0.0008485054,0.001447429,0.001051876],"genre_scores_gemma":[0.9177446,0.0002554131,0.07996588,0.0002896802,0.0001395536,0.0003045011,0.0007011066,0.00003884829,0.0005603343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006883465,"threshold_uncertainty_score":0.03640366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1556724640197019,"score_gpt":0.3413710459941806,"score_spread":0.1856985819744787,"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."}}