{"id":"W2141884450","doi":"10.1503/cmaj.101456","title":"Telemonitoring for patients with heart failure","year":2011,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heart failure; Computer science; Simple (philosophy); Medicine; Telemedicine; Health care; Medical emergency; Intensive care medicine; Data science; Cardiology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005389343,0.0001641651,0.0003048919,0.000511973,0.0006777014,0.0004996941,0.0002572043,0.000802071,0.007264222],"category_scores_gemma":[0.004535438,0.0000508404,0.0002950738,0.0005287306,0.0001418009,0.0006004579,0.0004934655,0.0008356276,0.0005696409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003661711,"about_ca_system_score_gemma":0.000783176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001814403,"about_ca_topic_score_gemma":0.003783255,"domain_scores_codex":[0.9996521,0.0001480302,0.00003707071,0.0000356879,0.00007940392,0.00004775569],"domain_scores_gemma":[0.9987607,0.0004276943,0.0002906244,0.00005237761,0.0001226265,0.0003459294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005725391,0.0006271295,0.1557745,0.0006120835,0.00006680595,0.001710279,0.0008226903,0.000254915,0.0008195903,0.0005619542,0.06161371,0.7765638],"study_design_scores_gemma":[0.0008700925,0.002600427,0.8330753,0.002878119,0.0003016889,0.01072508,0.002057208,0.002035984,0.001089187,0.005318297,0.1389728,0.00007577072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6508632,0.06430553,0.005991893,0.1233025,0.003442286,0.0007152038,0.001507378,0.0007509989,0.1491211],"genre_scores_gemma":[0.969566,0.01476028,0.003404876,0.006369183,0.002938612,0.0002587884,0.0003830435,0.00001810939,0.002301011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007264222,"threshold_uncertainty_score":0.02430123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009879512740370635,"score_gpt":0.2241136408733607,"score_spread":0.2142341281329901,"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."}}