{"id":"W4415884963","doi":"10.1002/jhm.70224","title":"Impact of remote biometric sensing on readmission risk and mortality after hospital discharge: Insights from a systematic review and meta‐analysis","year":2025,"lang":"en","type":"review","venue":"Journal of Hospital Medicine","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Toronto","funders":"","keywords":"MEDLINE; Biometrics; Risk assessment; Hospital medicine; Systematic review","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01450231,0.002045802,0.01506526,0.005866437,0.0004365975,0.003393458,0.00180167,0.001823857,0.003179378],"category_scores_gemma":[0.04217875,0.001057991,0.02830643,0.006785878,0.0006249341,0.001514415,0.00124446,0.001601509,0.0002576296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001551372,"about_ca_system_score_gemma":0.002669406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004492803,"about_ca_topic_score_gemma":0.009041065,"domain_scores_codex":[0.990205,0.004574912,0.003058313,0.0009315106,0.0009818804,0.0002483688],"domain_scores_gemma":[0.9615557,0.03042284,0.005127445,0.0008422556,0.001790574,0.0002611374],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001262814,0.00002938339,0.005939052,0.4241455,0.5512394,0.0001180574,0.00008734096,0.0003593579,0.0001673466,0.0001210895,0.0005197928,0.01601077],"study_design_scores_gemma":[0.0003621893,0.0002242016,0.007462254,0.04424998,0.9451883,0.0001248991,0.00006275862,0.0001617243,0.0001083969,0.0002537553,0.001772095,0.00002953375],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003837138,0.9949486,0.0002726147,0.0001681725,0.00007876652,0.0001203569,0.0004032903,0.00001095715,0.0001600354],"genre_scores_gemma":[0.152895,0.8426905,0.001581085,0.0008530389,0.0002810251,0.0006532515,0.0008315762,0.00002483028,0.0001895681],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9854977,"threshold_uncertainty_score":0.07669652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03026831189403481,"score_gpt":0.3662654768916642,"score_spread":0.3359971649976294,"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."}}