{"id":"W4364118931","doi":"10.2196/46046","title":"Uptake of Remote Physiologic Monitoring in the US Medicare Program: A Serial Cross-sectional Analysis","year":2023,"lang":"en","type":"letter","venue":"JMIR mhealth and uhealth","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Cross-sectional study; Medicine; Computer science; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002191471,0.0001947012,0.0002954699,0.0007541469,0.0005564364,0.0009745135,0.000855365,0.00175204,0.001420196],"category_scores_gemma":[0.009878037,0.0004040171,0.0006725457,0.001594555,0.0002980309,0.001142679,0.0007551792,0.001625181,0.00045174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030795,"about_ca_system_score_gemma":0.0011046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03375659,"about_ca_topic_score_gemma":0.04077144,"domain_scores_codex":[0.9982665,0.0007017564,0.0001863958,0.0002304624,0.0003486369,0.0002662851],"domain_scores_gemma":[0.991396,0.002245386,0.003287758,0.0007025086,0.001268041,0.001100372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000348776,0.00005867452,0.9988121,0.000002643322,0.00002611938,0.00001844588,0.00005154148,0.00001206406,0.00001870535,0.000008548314,0.000274614,0.0006818178],"study_design_scores_gemma":[0.000004071662,0.00006116911,0.9992715,0.000005638777,0.00001994468,0.00005394732,0.0001984288,0.0002146149,0.00002047564,0.000007753282,0.0001397488,0.000002757895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954597,0.0001989747,0.00009590292,0.001846762,0.00002450164,0.00001848675,0.001247285,0.00001038862,0.001098039],"genre_scores_gemma":[0.997699,0.0001141888,0.0001068025,0.0009542687,0.00004286562,0.00002568754,0.00068121,0.000005161282,0.00037082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03375659,"threshold_uncertainty_score":0.06712019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08666355851332504,"score_gpt":0.4351238808089503,"score_spread":0.3484603222956252,"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."}}