{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03851916,0.0001285895,0.0006570925,0.00009162552,0.0001772339,0.00002776727,0.0003116412,0.0003779263,0.00002126141],"category_scores_gemma":[0.02305786,0.00007919348,0.0001197125,0.0003195577,0.003315229,0.00005023926,0.0001177058,0.005547677,0.000001658236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005392793,"about_ca_system_score_gemma":0.0009629054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009174661,"about_ca_topic_score_gemma":0.003549969,"domain_scores_codex":[0.9966021,0.0006277686,0.001126918,0.0001664587,0.001212757,0.0002639591],"domain_scores_gemma":[0.9770132,0.02001996,0.0007009996,0.0003878986,0.001678379,0.000199603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000979973,0.00003875409,0.006307702,0.004889263,0.00006729965,0.00001026283,0.01961258,0.000001371039,0.000117042,0.9685952,0.00003515119,0.0002273859],"study_design_scores_gemma":[0.006686364,0.005162653,0.01175912,0.1382464,0.0008751704,0.0004478406,0.04896636,0.000134778,0.01338888,0.4955479,0.2776262,0.001158357],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4737873,0.02569786,0.00902932,0.4816796,0.0005567569,0.0009721023,0.00003471716,0.00002308815,0.008219233],"genre_scores_gemma":[0.9570845,0.02631642,0.003236176,0.0132008,0.0001214349,0.000001702904,5.979023e-7,0.0000141135,0.00002426196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4832972,"threshold_uncertainty_score":0.9993972,"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."}}