{"id":"W2990740094","doi":"10.1136/bmjebm-2019-111272","title":"Building capacity in evidence-based medicine in low-income and middle-income countries: problems and potential solutions","year":2019,"lang":"en","type":"article","venue":"BMJ evidence-based medicine","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Institute for Health and Care Research","keywords":"Low and middle income countries; Income distribution; Middle income; Development economics; Economics; Demographic economics; Developing country; Economic growth; Mathematics; Inequality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"incentives","study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0183651,0.0003722989,0.0009287625,0.00136404,0.000702323,0.00002614213,0.0004363678,0.0003370625,0.001165509],"category_scores_gemma":[0.01359961,0.000277599,0.00003879711,0.001813428,0.001294977,0.001074367,0.0001381029,0.001348432,0.00008261194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015284,"about_ca_system_score_gemma":0.003524941,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849156,"about_ca_topic_score_gemma":0.002501452,"domain_scores_codex":[0.9922779,0.001760873,0.001806657,0.0009151775,0.001566897,0.001672447],"domain_scores_gemma":[0.988663,0.008694844,0.0005166727,0.0006497645,0.000537233,0.0009384628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006575641,0.00008140199,0.9762903,0.01407175,0.000008660743,0.00004903965,0.004797146,0.0006657092,0.001282315,0.0007544332,0.0008716058,0.0004700059],"study_design_scores_gemma":[0.006697354,0.001475872,0.7417037,0.2160323,0.00003147928,0.00001667505,0.002787903,0.02875029,0.00003854288,0.001335898,0.0007219985,0.0004079154],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848535,0.006847908,0.001188235,0.1011431,0.001440147,0.004345217,0.000008450108,0.00005943325,0.0001139974],"genre_scores_gemma":[0.9917657,0.00233849,0.0008822408,0.003195782,0.0009295808,0.0006422365,0.000008832681,0.00002647164,0.0002106281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2345866,"threshold_uncertainty_score":0.9999676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2712587169033339,"score_gpt":0.4607731902002766,"score_spread":0.1895144732969427,"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."}}