{"id":"W2508975878","doi":"10.1186/s12960-016-0150-7","title":"Impact of MPH programs: contributing to health system strengthening in low- and middle-income countries?","year":2016,"lang":"en","type":"article","venue":"Human Resources for Health","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Newfoundland and Labrador","keywords":"Workforce; Public health; Context (archaeology); Health promotion; Health administration; Health services research; Focus group; Promotion (chess); Public relations; Medicine; Nursing; Medical education; Psychology; Political science; Business; Marketing; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382603,0.0001976341,0.0008075199,0.0001899734,0.0002634022,0.00001939735,0.00009818104,0.000068091,0.000007662619],"category_scores_gemma":[0.00006311856,0.0001249617,0.00009807877,0.0001481115,0.00006129881,0.00004093548,0.00005849914,0.0001109412,0.000003937736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009496347,"about_ca_system_score_gemma":0.0003103503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003863039,"about_ca_topic_score_gemma":0.0005368307,"domain_scores_codex":[0.9973791,0.0001041117,0.0009091691,0.0003252919,0.0002672382,0.001015142],"domain_scores_gemma":[0.9984387,0.0001176416,0.0004544174,0.0002315915,0.0001122775,0.0006453854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009537621,0.0001380315,0.971823,0.01693974,0.00005170906,0.000007948596,0.003453823,0.000003418498,0.00001947197,0.001772379,0.00009091292,0.004745821],"study_design_scores_gemma":[0.005949448,0.006961023,0.945659,0.03737433,0.00001273176,0.00006800699,0.0008343183,0.0000431959,0.0000156097,0.00006904527,0.002829835,0.0001834343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928941,0.001299544,0.0000709205,0.003594114,0.00004220686,0.001792151,0.0001654421,0.00007487759,0.00006670812],"genre_scores_gemma":[0.9986542,0.0001058085,0.0002221538,0.0007274974,0.0001503604,0.0000397613,0.0000105262,0.00002616888,0.00006345261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02616395,"threshold_uncertainty_score":0.5839786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181484522595275,"score_gpt":0.337441652410172,"score_spread":0.3156268071842193,"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."}}