{"id":"W2938688572","doi":"10.21037/cdt.2019.03.05","title":"Telerehabilitation with live-feed biomedical sensor signals for patients with heart failure: a pilot study","year":2019,"lang":"en","type":"article","venue":"Cardiovascular Diagnosis and Therapy","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Telerehabilitation; Medicine; Physical therapy; Rehabilitation; Physical medicine and rehabilitation; Heart failure; Quality of life (healthcare); Telemedicine; Health care; Cardiology; Nursing","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":[0.002422414,0.001201016,0.0009597267,0.0006335923,0.001138179,0.0004198494,0.0005836402,0.001156588,0.003601631],"category_scores_gemma":[0.002404288,0.0003893308,0.00103432,0.0002908533,0.0007644351,0.0007110053,0.0007010151,0.001070794,0.0006290241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003542507,"about_ca_system_score_gemma":0.001067969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533774,"about_ca_topic_score_gemma":0.001847183,"domain_scores_codex":[0.9991385,0.0004037498,0.00005222024,0.00009950352,0.00007656992,0.0002295305],"domain_scores_gemma":[0.9983743,0.0004648713,0.0001235379,0.0001660214,0.0002282639,0.0006429632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.05621943,0.6351455,0.1343776,0.00109146,0.000563947,0.002635155,0.008361657,0.001252164,0.03917484,0.0001510777,0.001094233,0.1199329],"study_design_scores_gemma":[0.01447517,0.805729,0.1722806,0.00004892681,0.0002709475,0.0005078051,0.002241961,0.001188974,0.00224289,0.00007299619,0.0008817803,0.00005892977],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988608,0.0000432617,0.0002919203,0.00003264496,0.00001128079,0.0005471951,0.00003377783,0.000009072029,0.000169996],"genre_scores_gemma":[0.9959142,0.00014734,0.001423529,0.0001295354,0.00006773464,0.001793977,0.0001676594,0.000004316471,0.0003516416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003601631,"threshold_uncertainty_score":0.01281106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733815525341941,"score_gpt":0.2765639388533588,"score_spread":0.2592257835999394,"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."}}