{"id":"W4360611612","doi":"10.1097/01.asm.0000924980.08965.a9","title":"ASA Global Health Overseas Training Programs: A Rwanda Update","year":2023,"lang":"en","type":"article","venue":"ASA Monitor","topic":"Global Health and Surgery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Global health; Medical education; Medicine; Geography; Nursing; Public health; Meteorology","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":[0.004568397,0.001087114,0.0006238085,0.003919133,0.0009565846,0.002260617,0.001529199,0.002538991,0.0422534],"category_scores_gemma":[0.01133352,0.0006395479,0.0009761289,0.003452974,0.0006137108,0.002987997,0.002680635,0.003871549,0.02278578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134056,"about_ca_system_score_gemma":0.006659834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636281,"about_ca_topic_score_gemma":0.03067255,"domain_scores_codex":[0.9982451,0.0003842597,0.0002441365,0.00008395265,0.0007260825,0.0003164083],"domain_scores_gemma":[0.9905764,0.001563605,0.001377573,0.0002675548,0.00459861,0.001616211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002439262,0.00003214797,0.0008224204,0.0005316726,0.000007984396,0.00008512969,0.00006724513,0.00005182982,0.00007450714,0.0002172951,0.8708552,0.1272301],"study_design_scores_gemma":[0.00001786474,0.000031887,0.006191723,0.003015953,0.00001906787,0.0002547888,0.0001639721,0.00003701639,0.0000631712,0.0001056596,0.990086,0.0000129762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006856047,0.3152238,0.002579144,0.3710201,0.1301002,0.0006706621,0.0125712,0.002673173,0.1583059],"genre_scores_gemma":[0.03575749,0.5366283,0.009597836,0.09265349,0.06217923,0.001748399,0.01364483,0.0008453497,0.2469451],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0422534,"threshold_uncertainty_score":0.1413517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104279913135325,"score_gpt":0.3773407293646599,"score_spread":0.3262979302333067,"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."}}