{"id":"W2997080825","doi":"10.1016/j.cct.2019.105918","title":"Improving the quality conduct and efficiency of clinical trials with training: Recommendations for preparedness and qualification of investigators and delegates","year":2019,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Population Health Research Institute","funders":"U.S. Food and Drug Administration","keywords":"Preparedness; Medicine; Safeguarding; Clinical trial; Protocol (science); Quality (philosophy); Medical education; Good clinical practice; Public relations; Alternative medicine; Nursing; Management; Political science","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.331345,0.0002098047,0.003580033,0.00009187293,0.00009980438,0.00004363762,0.0002228961,0.000608892,0.00002068376],"category_scores_gemma":[0.64298,0.0001187852,0.0003928275,0.0002078903,0.002420652,0.000166176,0.0001486023,0.001013044,6.233591e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001056678,"about_ca_system_score_gemma":0.002307681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198634,"about_ca_topic_score_gemma":0.00002342285,"domain_scores_codex":[0.9720713,0.01549674,0.01055791,0.0009561871,0.0006595652,0.0002582527],"domain_scores_gemma":[0.2121333,0.7763683,0.00772581,0.001375512,0.001657428,0.00073971],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04092643,0.001962801,0.688774,0.005430784,0.002177912,0.000002843339,0.007406566,0.000001279003,0.0135301,0.06600469,0.002293511,0.171489],"study_design_scores_gemma":[0.2567281,0.07914702,0.3087553,0.01203995,0.005590741,0.00005510512,0.08963271,0.00845444,0.01778993,0.1955402,0.0232913,0.0029752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807215,0.001373036,0.0006596676,0.01168778,0.0004035748,0.004737567,0.0001625496,0.00002358144,0.0002307353],"genre_scores_gemma":[0.9941896,0.001049895,0.003670076,0.000543585,0.0002138201,0.00009138269,0.00004009132,0.00002493282,0.0001766546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7608715,"threshold_uncertainty_score":0.8918993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9565385850928954,"score_gpt":0.7313654251280888,"score_spread":0.2251731599648066,"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."}}