{"id":"W2744551084","doi":"10.1016/j.cardfail.2017.07.160","title":"Remote Heart Failure Management Utilizing a Risk Stratification Algorithm Incorporating Device and External Diagnostics","year":2017,"lang":"en","type":"article","venue":"Journal of Cardiac Failure","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Triage; Exacerbation; Risk stratification; Heart failure; Canadian Cardiovascular Society; Risk assessment; Emergency medicine; Population; Cardiology; Internal medicine; Medical emergency; Intensive care medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001389261,0.001044573,0.000989849,0.001939995,0.0005325627,0.001633486,0.0006013689,0.0005951626,0.001783746],"category_scores_gemma":[0.002917877,0.0001853915,0.0008966689,0.0007518238,0.0001641047,0.001026083,0.000788521,0.0009905305,0.0004695153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000338022,"about_ca_system_score_gemma":0.0006465985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008228171,"about_ca_topic_score_gemma":0.001924483,"domain_scores_codex":[0.9992923,0.0001827322,0.0001131664,0.0001607122,0.0001994282,0.00005172402],"domain_scores_gemma":[0.9989195,0.0003812555,0.000202375,0.00007817036,0.000297184,0.000121596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001154422,0.001201891,0.6967807,0.00014102,0.0006674193,0.0004474382,0.0001053128,0.01148843,0.002908624,0.001756215,0.003127512,0.280221],"study_design_scores_gemma":[0.0007002236,0.00386491,0.5799757,0.0004343794,0.002230031,0.0033986,0.0003184334,0.3853548,0.006731879,0.009505148,0.007323871,0.0001619792],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.76626,0.002372649,0.2038098,0.002299022,0.0003283279,0.001548855,0.001159512,0.001213901,0.02100787],"genre_scores_gemma":[0.9057289,0.0005041111,0.09027836,0.000276699,0.000247289,0.0002309928,0.000964621,0.00004407338,0.001724974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001939995,"threshold_uncertainty_score":0.007347226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061497130485805,"score_gpt":0.3005350473872107,"score_spread":0.2799200760823526,"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."}}