{"id":"W4399277555","doi":"10.2196/55959","title":"The Information and Communication Technology Maturity Assessment at Primary Health Care Services Across 9 Provinces in Indonesia: Evaluation Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"World Health Organization","keywords":"Maturity (psychological); Information and Communications Technology; Health services; Primary health care; Medicine; Primary care; Health information technology; Health care; Health information; Business; Environmental health; Computer science; Family medicine; World Wide Web; Psychology; Political science; Population","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":[0.007593078,0.0006675934,0.0008538003,0.001534315,0.001976748,0.001476217,0.001112595,0.0005490101,0.001428193],"category_scores_gemma":[0.009692764,0.0005945247,0.001347767,0.002803511,0.000915972,0.001117436,0.001577152,0.001182387,0.0002308001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01562266,"about_ca_system_score_gemma":0.02230778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.244384,"about_ca_topic_score_gemma":0.2495012,"domain_scores_codex":[0.9958105,0.001612536,0.0003821473,0.0003253235,0.0007957101,0.001073813],"domain_scores_gemma":[0.9901357,0.001748531,0.001766023,0.0004960396,0.003738196,0.002115435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002781776,0.01093758,0.9153208,0.0008332261,0.0003228098,0.0004717401,0.01015012,0.001144476,0.0006962584,0.0001512369,0.0009402973,0.05624978],"study_design_scores_gemma":[0.0004434531,0.005453503,0.9757758,0.0001553101,0.0002164704,0.0001121232,0.01490628,0.00150723,0.0005631091,0.00004244366,0.0007916369,0.00003267068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977015,0.00006643411,0.00007448716,0.00006234436,0.00000215227,0.0009970944,0.0003259776,0.000006220973,0.0007638407],"genre_scores_gemma":[0.9977436,0.0001067167,0.0005581932,0.00004889132,0.00000225464,0.00102854,0.000327361,0.000002376057,0.0001821491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.244384,"threshold_uncertainty_score":0.4859232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356403982110847,"score_gpt":0.480285800190054,"score_spread":0.4567217603689455,"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."}}