{"id":"W4401345053","doi":"10.1186/s13031-024-00608-2","title":"Assessing the integration of refugee health data into national health information systems in Jordan, Lebanon, and Uganda","year":2024,"lang":"en","type":"article","venue":"Conflict and Health","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council; Medical Research Council; Wellcome Trust","keywords":"Refugee; Data collection; Consistency (knowledge bases); Strengths and weaknesses; Public health; Health services research; Population; Health indicator; Data quality; Medicine; Environmental health; Political science; Geography; Computer science; Sociology; Psychology; Social science; Operations management; Engineering; Nursing","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":[0.0803581,0.0004993558,0.0006968294,0.01177286,0.001825764,0.006058808,0.001321533,0.0006781291,0.001173339],"category_scores_gemma":[0.1441425,0.0005107927,0.0006353647,0.01487907,0.002439168,0.00578824,0.007908208,0.001018793,0.0001321865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006332155,"about_ca_system_score_gemma":0.01502704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013597,"about_ca_topic_score_gemma":0.02323542,"domain_scores_codex":[0.9591846,0.02576456,0.005779381,0.001379945,0.006063878,0.001827571],"domain_scores_gemma":[0.8884981,0.0474895,0.02217653,0.004607054,0.03432235,0.002906447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009538193,0.00008946488,0.8951116,0.001532529,0.0003148981,0.0004173721,0.0407338,0.001106296,0.0002567624,0.003443554,0.001192236,0.0557061],"study_design_scores_gemma":[0.00002585911,0.0003963117,0.7032737,0.005183679,0.0002906848,0.0004591709,0.2544073,0.003630134,0.00138573,0.002141683,0.02870247,0.0001033171],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832124,0.002175032,0.00273788,0.003046689,0.00004617695,0.0005369424,0.002171378,0.00002845017,0.006045022],"genre_scores_gemma":[0.9893888,0.001239903,0.007140619,0.0002781125,0.00001632349,0.0003788589,0.001333319,0.00001012422,0.0002139924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0803581,"threshold_uncertainty_score":0.4249793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1389031273204477,"score_gpt":0.4661905985389878,"score_spread":0.3272874712185402,"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."}}