{"id":"W4410242524","doi":"10.1161/circheartfailure.124.012204","title":"Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study","year":2025,"lang":"en","type":"article","venue":"Circulation Heart Failure","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ted Rogers Centre for Heart Research; University Health Network","funders":"","keywords":"Medicine; Wearable computer; Cardiorespiratory fitness; Heart failure; Wearable technology; Exercise intolerance; Machine learning; Physical medicine and rehabilitation; Computer science; Physical therapy; Cardiology; Embedded system","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":[0.05847815,0.0006922781,0.0009156988,0.0008051233,0.0007952906,0.003537394,0.001973248,0.002742439,0.009678928],"category_scores_gemma":[0.05909007,0.0003642864,0.001601539,0.0009475098,0.002999903,0.002826707,0.003463932,0.005479794,0.001974164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261409,"about_ca_system_score_gemma":0.003949845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001435845,"about_ca_topic_score_gemma":0.001963594,"domain_scores_codex":[0.966407,0.02613658,0.001687333,0.00192445,0.003338603,0.0005060628],"domain_scores_gemma":[0.9642969,0.02285529,0.00165573,0.003274965,0.005953054,0.001963919],"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":[0.00938738,0.00139425,0.01887791,0.003681556,0.0004919135,0.0005673654,0.00163093,0.001678421,0.003435661,0.2373414,0.1079528,0.6135605],"study_design_scores_gemma":[0.005944981,0.01177699,0.02469265,0.01265953,0.001529907,0.001502857,0.001454728,0.004975201,0.006261051,0.08858258,0.8403187,0.000300732],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07404242,0.09104609,0.2885559,0.3213373,0.03223156,0.02531557,0.007436397,0.0008720112,0.1591627],"genre_scores_gemma":[0.3523387,0.06010071,0.356671,0.1137284,0.01412087,0.06037935,0.003222653,0.0007510234,0.03868742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05847815,"threshold_uncertainty_score":0.3092657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217886387988626,"score_gpt":0.2730198069113179,"score_spread":0.2408409430314316,"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."}}