{"id":"W4200434117","doi":"10.5152/turkjorthod.2021.21030","title":"Reporting Sample Size Calculation in Randomized Clinical Trials Published in 4 Orthodontic Journals","year":2021,"lang":"en","type":"article","venue":"","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sample size determination; Randomized controlled trial; Sample (material); Clinical trial; Large sample","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":["metaresearch"],"domain":"reporting","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch","bibliometrics"],"domain":"reporting","study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.5389674,0.002106062,0.005921369,0.02161874,0.001697911,0.00784389,0.00388041,0.004783957,0.002919903],"category_scores_gemma":[0.8568329,0.001705774,0.01090679,0.01438704,0.003461076,0.007890461,0.005256914,0.002492276,0.0006321453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00477177,"about_ca_system_score_gemma":0.01023067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009739724,"about_ca_topic_score_gemma":0.0009327719,"domain_scores_codex":[0.1485216,0.4917499,0.3059053,0.00906365,0.04370255,0.001056956],"domain_scores_gemma":[0.07552152,0.7682879,0.1040039,0.01922112,0.03246994,0.0004956929],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.009243495,0.0004746221,0.1863579,0.2474795,0.04732312,0.0009237418,0.007731121,0.00465731,0.00306087,0.01404617,0.01221092,0.4664912],"study_design_scores_gemma":[0.01778502,0.01275251,0.2051881,0.3623251,0.1273367,0.007210342,0.008344261,0.01918809,0.02674864,0.06553367,0.1460407,0.001546873],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1453241,0.4257134,0.3296469,0.01857419,0.01085639,0.04419396,0.009313178,0.0009623577,0.01541539],"genre_scores_gemma":[0.5642054,0.04091314,0.2883131,0.007842813,0.002823472,0.09038332,0.004316278,0.0003238233,0.0008786336],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4610326,"threshold_uncertainty_score":0.5685353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9305638248511154,"score_gpt":0.6830218970389912,"score_spread":0.2475419278121243,"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."}}