{"id":"W4366814603","doi":"10.3390/s23094228","title":"Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Università Campus Bio-Medico di Roma","keywords":"Medicine; Internal medicine; Primary care; Medical record; Heart failure; Body mass index; Glycated hemoglobin; Population; Cardiology; Diabetes mellitus; Type 2 diabetes; Endocrinology","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":[0.002873583,0.0005106236,0.0005673459,0.001652605,0.0002178296,0.001240378,0.0003196208,0.0005493187,0.0005610885],"category_scores_gemma":[0.01068015,0.0001253069,0.0004940331,0.0008535026,0.0001803515,0.0004676787,0.0006414237,0.0004318253,0.0003509781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002711799,"about_ca_system_score_gemma":0.0005256344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196694,"about_ca_topic_score_gemma":0.002265264,"domain_scores_codex":[0.9987494,0.0004917369,0.0001680835,0.0002148714,0.0002256037,0.000150233],"domain_scores_gemma":[0.9949071,0.00268531,0.00101933,0.0004288777,0.0006364335,0.0003229154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006394075,0.0001471336,0.9539915,0.00005711491,0.000152209,0.0001399694,0.00007745842,0.007784499,0.001507598,0.0001327309,0.0007780895,0.03459231],"study_design_scores_gemma":[0.00004619242,0.000560134,0.8117848,0.00007709608,0.0001344992,0.0005471497,0.000267732,0.1818818,0.002367069,0.0009055002,0.001392649,0.00003541341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865407,0.0005084834,0.009033954,0.0001897502,0.00003346372,0.00008121781,0.002605289,0.0001164669,0.000890596],"genre_scores_gemma":[0.9891762,0.0001318715,0.005460468,0.00005774337,0.00004300341,0.00003768888,0.004966682,0.000004906066,0.0001214885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002873583,"threshold_uncertainty_score":0.01519716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096773757829377,"score_gpt":0.2703340954801473,"score_spread":0.2593663579018535,"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."}}