{"id":"W2306702649","doi":"10.1136/bmjopen-2015-010166","title":"Systematic review finds major deficiencies in sample size methodology and reporting for stepped-wedge cluster randomised trials","year":2016,"lang":"en","type":"review","venue":"BMJ Open","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"National Institutes of Health; Medical Research Council; University of Birmingham; National Institute for Health and Care Research","keywords":"Medicine; Sample size determination; Cluster (spacecraft); Allowance (engineering); Cluster randomised controlled trial; Clinical trial; Sample (material); Randomized controlled trial; Statistics; Operations management; Surgery","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","metaepi_narrow","metaepi_broad","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8632048,0.001089448,0.08647529,0.0006598297,0.0002191234,0.002027849,0.005554092,0.0004611628,0.003630367],"category_scores_gemma":[0.9601212,0.0003953411,0.00970058,0.001659692,0.0001008414,0.000369261,0.001448172,0.0002665225,0.0006917903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117835,"about_ca_system_score_gemma":0.000858646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003288901,"about_ca_topic_score_gemma":0.00007698334,"domain_scores_codex":[0.4471079,0.3475656,0.1925807,0.00487687,0.006557926,0.001310961],"domain_scores_gemma":[0.08013125,0.7082309,0.1985842,0.01097391,0.001720609,0.0003591776],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008600816,0.00002011927,0.000007779759,0.8642111,0.0008481825,0.000008140786,0.00009737104,1.215623e-7,1.963678e-7,0.0002559691,0.02135724,0.1131078],"study_design_scores_gemma":[0.0036557,0.00004007539,0.000001762406,0.5823734,0.01087995,0.0001632763,0.0001208048,0.00002462801,1.354883e-7,0.002591327,0.399586,0.0005629057],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[6.854077e-7,0.8232934,0.01612179,0.0003452317,0.0003595097,0.158514,0.0001619588,0.000004929566,0.001198501],"genre_scores_gemma":[2.707584e-7,0.8893337,0.04508544,0.0006010603,0.0001243213,0.04967129,0.0000229221,0.00005654773,0.01510447],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3782288,"threshold_uncertainty_score":0.9998499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9528503024110534,"score_gpt":0.6977547521299656,"score_spread":0.2550955502810878,"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."}}