{"id":"W3087695377","doi":"10.23736/s1973-9087.20.06451-5","title":"Randomized controlled trials in non-pharmacological rehabilitation research: a scoping review of the reporting of sample size calculation, randomization procedure, and statistical analyses","year":2021,"lang":"en","type":"review","venue":"European Journal of Physical and Rehabilitation Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute","funders":"","keywords":"Randomized controlled trial; Medicine; Sample size determination; Randomization; Consolidated Standards of Reporting Trials; Rehabilitation; Research design; Physical therapy; Clinical trial; Statistical significance; MEDLINE; Clinical study design; Gold standard (test); Statistics; Surgery; Internal medicine","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_broad"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6644636,0.0003792339,0.04039022,0.0007398418,0.00009777139,0.00007888101,0.0004886888,0.0000671083,0.0003312419],"category_scores_gemma":[0.9732231,0.0001224901,0.005436423,0.002437472,0.001152182,0.000141465,0.0001254359,0.000561493,0.000001392324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003946531,"about_ca_system_score_gemma":0.0004352781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006281175,"about_ca_topic_score_gemma":0.00000163457,"domain_scores_codex":[0.5398304,0.3638467,0.0879923,0.000973357,0.007089422,0.0002678644],"domain_scores_gemma":[0.1104887,0.7867989,0.09349995,0.0009614073,0.008040711,0.0002103675],"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":[0.01563408,0.001007208,0.0004358303,0.4923643,0.005183741,0.00004547457,0.009384083,0.0003043388,0.0001654989,0.003575476,0.01033024,0.4615697],"study_design_scores_gemma":[0.1100019,0.001046175,0.000881327,0.8614344,0.01573418,0.00005196463,0.00107408,0.00162473,0.000001358421,0.005064577,0.00282683,0.0002584668],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001516507,0.9834335,0.005620072,0.001555216,0.0001358457,0.007588394,0.000011508,0.000001093873,0.0001378313],"genre_scores_gemma":[0.009920266,0.9804133,0.009098045,0.00006227554,0.0003229483,0.0001064888,0.00001074066,0.00002123669,0.0000447206],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4613113,"threshold_uncertainty_score":0.9738562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7299119657026045,"score_gpt":0.6440126631589204,"score_spread":0.08589930254368416,"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."}}