{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0380811,0.002178075,0.00731675,0.02073709,0.001210397,0.006002574,0.00327396,0.003137658,0.004880801],"category_scores_gemma":[0.188906,0.001641463,0.01071575,0.0214433,0.001809552,0.005460828,0.003551157,0.002457615,0.000620779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006123196,"about_ca_system_score_gemma":0.02780443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008991668,"about_ca_topic_score_gemma":0.01653501,"domain_scores_codex":[0.966506,0.0148259,0.01040896,0.001823052,0.005846365,0.0005897846],"domain_scores_gemma":[0.7816341,0.1832799,0.01995011,0.003463231,0.01110863,0.0005641294],"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":[0.0001161726,0.00002769084,0.0006721806,0.9146214,0.004904047,0.00007845329,0.0004238115,0.0003802974,0.00007385266,0.0007909614,0.00200016,0.07591103],"study_design_scores_gemma":[0.00005550498,0.00008276862,0.0009092072,0.9686366,0.01389895,0.0001401759,0.0002813826,0.0001956337,0.000108316,0.0006753832,0.01498776,0.00002834352],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005528067,0.996035,0.001007125,0.0005300435,0.0001626732,0.0008075268,0.0004493826,0.00002246564,0.0004329699],"genre_scores_gemma":[0.01027594,0.9839738,0.002547369,0.0005351703,0.0001298335,0.002031405,0.0003930036,0.00001224936,0.0001012673],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0380811,"threshold_uncertainty_score":0.2013945,"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."}}