{"id":"W3136880818","doi":"10.2196/24509","title":"Testing the Feasibility of Sensor-Based Home Health Monitoring (TEC4Home) to Support the Convalescence of Patients With Heart Failure: Pre–Post Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada); Vancouver General Hospital; Centre for Advancing Health Outcomes; Telus (Canada); University of British Columbia","funders":"Michael Smith Health Research BC; Government of Canada","keywords":"Medicine; Convalescence; Emergency department; Quality of life (healthcare); Heart failure; Emergency medicine; Randomized controlled trial; Medical emergency; Physical therapy; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01987277,0.001242417,0.001238519,0.0006764173,0.001683699,0.001246614,0.001063417,0.001696496,0.003537217],"category_scores_gemma":[0.02625105,0.0007641125,0.001890239,0.0005205098,0.001801217,0.001554502,0.001357579,0.002594669,0.000888225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002765775,"about_ca_system_score_gemma":0.005155337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007946929,"about_ca_topic_score_gemma":0.01182876,"domain_scores_codex":[0.9892411,0.006478292,0.001050867,0.0007105024,0.001175092,0.001344185],"domain_scores_gemma":[0.9782396,0.007147202,0.002726635,0.002512145,0.005288022,0.004086497],"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":[0.3126547,0.4549403,0.1083484,0.0008710254,0.001057367,0.0002847604,0.003620195,0.001522068,0.003895999,0.0002293875,0.003462102,0.1091137],"study_design_scores_gemma":[0.04717109,0.7922692,0.1532504,0.00008571112,0.0003968418,0.00004073455,0.001236798,0.00122077,0.001793033,0.0001155719,0.002339159,0.00008060542],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840386,0.00005689846,0.0004121766,0.0002552542,0.0001061045,0.01318754,0.0004563521,0.00004185478,0.001445236],"genre_scores_gemma":[0.9706354,0.0001097022,0.003747386,0.0006597865,0.0001623596,0.02273834,0.0007489144,0.000017314,0.001180841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01987277,"threshold_uncertainty_score":0.1050985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175399547090922,"score_gpt":0.4302072738421203,"score_spread":0.3126673191330281,"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."}}