{"id":"W3080652018","doi":"10.1016/j.jnma.2020.07.015","title":"Aiding Universal Health Coverage through Humanitarian Outreach Services and Global Health Diplomacy in Resource-Poor Settings","year":2020,"lang":"en","type":"article","venue":"Journal of the National Medical Association","topic":"Global Health and Surgery","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Outreach; Global health; Diplomacy; Health care; Medicine; Humanitarian aid; Humanitarian crisis; Triage; Economic growth; Political science; Public relations; Refugee; Medical emergency; Politics; Law; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002932551,0.00009619759,0.0003844097,0.00004727375,0.000181923,0.00002155621,0.0001228168,0.0001312517,0.00002700166],"category_scores_gemma":[0.00240673,0.00007103827,0.0000961502,0.0003537795,0.00002262874,0.0001765357,0.00005223644,0.000581522,0.000003414508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455074,"about_ca_system_score_gemma":0.001683727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001178684,"about_ca_topic_score_gemma":0.00006562108,"domain_scores_codex":[0.9964665,0.0003335493,0.0007278193,0.0001282904,0.002055023,0.0002887975],"domain_scores_gemma":[0.9979952,0.000329735,0.0009493976,0.0000330052,0.0002619793,0.0004306985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001189148,0.0006685311,0.6807239,0.001245612,0.0003143623,0.00009653968,0.006656802,0.0001037059,0.00002145277,0.0147175,0.2745814,0.01968105],"study_design_scores_gemma":[0.00681132,0.0007863563,0.7580516,0.001605743,0.00004469884,0.0002370074,0.001598904,0.002193138,0.000005536901,0.008343013,0.2201588,0.0001638298],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2709882,0.0009003063,0.00009357824,0.7258868,0.0002366815,0.0002238117,0.00004145446,0.00001531322,0.001613889],"genre_scores_gemma":[0.8392755,0.0002028324,0.0001577851,0.1596142,0.0007040548,5.980629e-7,0.00001150267,0.00000580794,0.00002772179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5682873,"threshold_uncertainty_score":0.6419932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902963302394897,"score_gpt":0.3298226912556094,"score_spread":0.3107930582316604,"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."}}