{"id":"W2107773985","doi":"10.7196/sajbl.308","title":"Enhancing capacity of ethics review committees in developing countries: The Kenyan example","year":2014,"lang":"en","type":"article","venue":"South African Journal of Bioethics and Law","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Manitoba","funders":"","keywords":"Kenya; Developing country; Political science; Ethics committee; Engineering ethics; Medicine; Economic growth; Public administration; Economics; Law; Engineering","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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2806854,0.001099741,0.0004879311,0.002969431,0.02103937,0.01158514,0.003842248,0.01072945,0.004652089],"category_scores_gemma":[0.2276825,0.001633671,0.000923562,0.002595119,0.01846694,0.01363854,0.0194382,0.009986483,0.001205912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01542801,"about_ca_system_score_gemma":0.1113867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01765416,"about_ca_topic_score_gemma":0.04377622,"domain_scores_codex":[0.7432276,0.2134819,0.008486034,0.003906471,0.01388214,0.01701572],"domain_scores_gemma":[0.5100932,0.3349354,0.0274744,0.02534269,0.05317363,0.04898082],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004614938,0.0007940023,0.03709877,0.006041371,0.0001870317,0.01352906,0.1779914,0.002501406,0.003461692,0.2893575,0.1636763,0.3049001],"study_design_scores_gemma":[0.0006021709,0.000505796,0.02748724,0.009900345,0.00008754569,0.004234422,0.0572701,0.001966048,0.002067292,0.05460882,0.8408693,0.0004008814],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1069504,0.03630359,0.03583431,0.6853361,0.003811404,0.005057634,0.0001760845,0.0002769051,0.1262537],"genre_scores_gemma":[0.8021378,0.01966747,0.09967715,0.05794082,0.001287566,0.003699186,0.0001535043,0.0001793982,0.01525723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9892706,"threshold_uncertainty_score":0.8870429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4091388041779467,"score_gpt":0.4822241814647514,"score_spread":0.07308537728680475,"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."}}