{"id":"W2552299408","doi":"10.1016/j.wneu.2016.11.052","title":"Recruitment in Clinical Trials: The Use of Zelen's Prerandomization in Recent Neurovascular Studies","year":2016,"lang":"en","type":"article","venue":"World Neurosurgery","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; University of Alberta Hospital; Health Sciences Centre; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Neurovascular bundle; Randomization; Context (archaeology); Randomized controlled trial; Clinical trial; Intensive care medicine; Surgery; Pathology","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":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5642301,0.0007056668,0.00308401,0.003940343,0.002468083,0.004430807,0.003842195,0.005776173,0.003439074],"category_scores_gemma":[0.7730024,0.001203635,0.002001753,0.003220593,0.009195865,0.007634765,0.004879669,0.006645002,0.0005350393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003858621,"about_ca_system_score_gemma":0.009128781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009858477,"about_ca_topic_score_gemma":0.00224616,"domain_scores_codex":[0.285481,0.6630906,0.02766776,0.007161921,0.01545209,0.001146473],"domain_scores_gemma":[0.08698069,0.8278983,0.03623866,0.03557364,0.0117429,0.001565822],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02414217,0.0005441809,0.06468084,0.01083555,0.003607915,0.0005263333,0.01128926,0.005098396,0.002896579,0.1707291,0.0215106,0.6841392],"study_design_scores_gemma":[0.02301371,0.02269801,0.2078861,0.0263685,0.008439235,0.004348896,0.005122962,0.1427407,0.02058769,0.3685402,0.1685818,0.001672099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1761683,0.04715353,0.6564675,0.0634632,0.004502831,0.02139059,0.0005921304,0.001033525,0.02922846],"genre_scores_gemma":[0.656619,0.003339668,0.3123316,0.01224915,0.0008135316,0.01254575,0.0001368254,0.0002032074,0.001761271],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.4357699,"threshold_uncertainty_score":0.5373819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9202421565758868,"score_gpt":0.6463853532802954,"score_spread":0.2738568032955914,"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."}}