{"id":"W4399515058","doi":"10.2196/57618","title":"Predictive Data Analytics in Telecare and Telehealth: Systematic Scoping Review","year":2024,"lang":"en","type":"article","venue":"Online Journal of Public Health Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Digital Health and Care Innovation Centre","keywords":"Telecare; Telehealth; Data science; Analytics; Predictive analytics; Computer science; Medicine; Telemedicine; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009382738,0.0001887901,0.001228773,0.0008834882,0.00006684105,0.00006607353,0.0002388318,0.00007365685,0.0000275914],"category_scores_gemma":[0.002859275,0.0001361632,0.00005518532,0.001044716,0.00004619817,0.001070614,0.0001039097,0.0007511036,0.0000032598],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211207,"about_ca_system_score_gemma":0.00613238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003007676,"about_ca_topic_score_gemma":0.0001106758,"domain_scores_codex":[0.9936565,0.0002332972,0.004672107,0.0001286299,0.0007967114,0.0005127883],"domain_scores_gemma":[0.99654,0.00042866,0.001432594,0.000436404,0.0004511538,0.0007111802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0000120018,0.0001131007,0.00301859,0.9087281,0.0001054927,0.00005216965,0.002521655,0.000002961445,2.385107e-7,0.00008593731,0.01113008,0.07422965],"study_design_scores_gemma":[0.002010084,0.002332329,0.003813399,0.9268317,0.0003217928,0.003469223,0.008128849,0.04089865,5.690157e-7,0.00003379209,0.0119756,0.0001840279],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04668559,0.6649814,0.04876873,0.2271775,0.00152327,0.00976133,0.0005771248,0.0001763542,0.0003487647],"genre_scores_gemma":[0.1322127,0.7452943,0.0591549,0.05983893,0.001671308,0.0000431697,0.00160852,0.0001026117,0.00007348917],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1673386,"threshold_uncertainty_score":0.9995019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194224358034601,"score_gpt":0.4737756593887787,"score_spread":0.2543532235853185,"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."}}