{"id":"W4327496726","doi":"10.2139/ssrn.4371871","title":"Systematic Review of Internet of Medical Things for Cardiovascular Disease Prevention Among Australian First Nations","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Internet of Things; Disease; The Internet; Disease prevention; Medicine; Internet privacy; Business; Environmental health; Computer science; World Wide Web; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0129886,0.001566978,0.009814241,0.007491872,0.001054312,0.002853061,0.001773586,0.002001585,0.006229618],"category_scores_gemma":[0.05465967,0.001493046,0.01439417,0.007485709,0.001160188,0.002153863,0.002373058,0.001809449,0.0003343975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309034,"about_ca_system_score_gemma":0.01419606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02966164,"about_ca_topic_score_gemma":0.09533051,"domain_scores_codex":[0.9843315,0.00673868,0.005644475,0.0009693558,0.001929744,0.0003861936],"domain_scores_gemma":[0.9662012,0.02139414,0.007653415,0.0009152987,0.003292567,0.0005435091],"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":[0.000814384,0.00003085582,0.001764067,0.9091764,0.07521731,0.00008256848,0.0003022269,0.00008819386,0.0001522576,0.0001092571,0.001005167,0.01125728],"study_design_scores_gemma":[0.002250896,0.0006689067,0.01348201,0.5497046,0.4237914,0.0002064273,0.0004543792,0.0001182801,0.0001521732,0.0002738781,0.008833908,0.00006319997],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009467707,0.984431,0.0004648891,0.0004905151,0.0003932829,0.002162059,0.001796962,0.00002737305,0.0007662018],"genre_scores_gemma":[0.1384548,0.8512408,0.003038495,0.002073042,0.0002047789,0.003352225,0.0009742657,0.00003168489,0.0006298515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02966164,"threshold_uncertainty_score":0.06869107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943556588258737,"score_gpt":0.4205971094823531,"score_spread":0.3711615435997657,"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."}}