{"id":"W4386592036","doi":"10.1111/jebm.12547","title":"Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review","year":2023,"lang":"en","type":"review","venue":"Journal of Evidence-Based Medicine","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Psychological intervention; Digital health; Medicine; Health care; Service delivery framework; mHealth; Nursing; Service (business); Business; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01505237,0.0006162039,0.007700081,0.001666078,0.0003544439,0.00001860999,0.0006829533,0.0004013172,0.00002521266],"category_scores_gemma":[0.007018471,0.0003980882,0.0002619323,0.002801334,0.0001052617,0.000378321,0.0001497012,0.003374334,0.00006415672],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004439063,"about_ca_system_score_gemma":0.03068569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449938,"about_ca_topic_score_gemma":0.002210553,"domain_scores_codex":[0.9828646,0.003066616,0.01133181,0.0006337381,0.0009107849,0.001192437],"domain_scores_gemma":[0.9794487,0.008599869,0.009219076,0.0007409269,0.0008187451,0.001172673],"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":[0.00002669994,0.00003166445,0.00001296947,0.6204133,0.00001183325,0.00002124663,0.0004721627,0.000001648038,1.525336e-8,0.00002999591,0.0008812996,0.3780972],"study_design_scores_gemma":[0.0002566552,0.0006300093,0.00001326955,0.9399476,0.000296667,0.00005307494,0.001678308,0.00002778026,6.072592e-9,0.00008338531,0.05680018,0.0002130468],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000342798,0.9365954,0.0003416832,0.04723164,0.0006131344,0.01510361,0.00006112722,0.00003665104,0.00001335564],"genre_scores_gemma":[0.00001371096,0.963921,0.0002562313,0.03236749,0.0007376351,0.002505659,0.00009234017,0.00008565705,0.00002025517],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3778841,"threshold_uncertainty_score":0.9998471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.33261185357091,"score_gpt":0.518243514726389,"score_spread":0.185631661155479,"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."}}