{"id":"W4310919995","doi":"10.1136/bmjopen-2022-067656","title":"Reporting of and explanations for under-recruitment and over-recruitment in pragmatic trials: a secondary analysis of a database of primary trial reports published from 2014 to 2019","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research; National Institute on Aging; National Institutes of Health","keywords":"Medicine; Sample size determination; Clinical trial; Patient recruitment; Psychological intervention; Logistic regression; Multinomial logistic regression; Cluster (spacecraft); Family medicine; Demography; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.489853,0.001651939,0.004522941,0.02112075,0.001700673,0.005147656,0.002759308,0.003333181,0.004224599],"category_scores_gemma":[0.8099192,0.0021415,0.007094571,0.02203725,0.003720825,0.006525389,0.00791899,0.002335123,0.0009415012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005514405,"about_ca_system_score_gemma":0.01464886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002998591,"about_ca_topic_score_gemma":0.004296751,"domain_scores_codex":[0.2485628,0.3640019,0.3166668,0.01417705,0.05326169,0.003329704],"domain_scores_gemma":[0.06390552,0.5962104,0.2709162,0.03257384,0.03529733,0.001096788],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.01437125,0.0003595414,0.3183938,0.3500066,0.02322115,0.001681751,0.03657349,0.001383682,0.002453592,0.01052423,0.05325232,0.1877786],"study_design_scores_gemma":[0.007102387,0.002367341,0.514549,0.2545186,0.02970149,0.004118199,0.01013279,0.00366771,0.005223888,0.0112581,0.1560187,0.001341742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4025593,0.2742642,0.06722545,0.0394675,0.004119587,0.05881169,0.1332259,0.001399202,0.01892712],"genre_scores_gemma":[0.7763471,0.032792,0.05217329,0.01462893,0.001503881,0.09423445,0.02504356,0.000921407,0.002355387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.510147,"threshold_uncertainty_score":0.6291021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.758245299839847,"score_gpt":0.6421201894899231,"score_spread":0.1161251103499239,"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."}}