{"id":"W3102879733","doi":"10.1186/s13063-020-04850-w","title":"Analysis and reporting of stratified cluster randomized trials—a systematic survey","year":2020,"lang":"en","type":"review","venue":"Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Hamilton Health Sciences; St. Joseph’s Healthcare Hamilton; Impact","funders":"","keywords":"CRTS; Sample size determination; Medicine; Systematic review; Randomization; Randomized controlled trial; Research design; Data mining; Clinical trial; Cluster analysis; Clinical study design; Cluster randomised controlled trial; Stratified sampling; Cluster (spacecraft); MEDLINE; Medical physics; Information retrieval; Statistics; Computer science; Pathology; Artificial intelligence; Mathematics","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","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.9635372,0.001173914,0.3193306,0.002215706,0.000105594,0.001897431,0.002271404,0.0005349208,0.004596586],"category_scores_gemma":[0.9804164,0.0004183111,0.05891827,0.007504338,0.0001384023,0.0001479698,0.0002674563,0.000361766,0.000478954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003816443,"about_ca_system_score_gemma":0.0004966463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008417437,"about_ca_topic_score_gemma":0.0001058171,"domain_scores_codex":[0.0330967,0.6742699,0.2823286,0.002271554,0.007698657,0.0003346808],"domain_scores_gemma":[0.02704013,0.5403449,0.4241506,0.006078529,0.002073254,0.0003126014],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002685154,0.00007986438,0.0001165768,0.4685481,0.1686455,0.00003809681,0.0004277812,0.00002129366,6.319272e-7,0.0004310154,0.007701764,0.3513041],"study_design_scores_gemma":[0.03000309,0.00005616032,0.00002511261,0.05457881,0.8427038,0.00004549005,0.0002319242,0.002480056,0.000001144846,0.001961101,0.06665216,0.001261194],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001168994,0.9571493,0.02055638,0.00003434451,0.0004565984,0.02097642,0.0002793407,0.000008362634,0.000527536],"genre_scores_gemma":[0.0002612572,0.9932795,0.001781702,0.00002823102,0.0002380221,0.0009111556,0.0001741643,0.00004238504,0.003283571],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6740582,"threshold_uncertainty_score":0.9998268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9597756563809456,"score_gpt":0.6677349341409536,"score_spread":0.292040722239992,"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."}}