{"id":"W2027513428","doi":"10.1007/s004020100347","title":"Effect of continuous versus dichotomous outcome variables on study power when sample sizes of orthopaedic randomized trials are small","year":2002,"lang":"en","type":"article","venue":"Archives of Orthopaedic and Trauma Surgery","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Medicine; Sample size determination; Randomized controlled trial; Outcome (game theory); Orthopedic surgery; Statistical power; Continuous variable; Clinical trial; Physical therapy; Statistics; Surgery; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6759542,0.005829262,0.02511467,0.009598757,0.003396251,0.009617438,0.006153374,0.02211621,0.01597066],"category_scores_gemma":[0.8814948,0.006118963,0.05357899,0.009938051,0.01934214,0.02112571,0.008998984,0.02114543,0.001496205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00331314,"about_ca_system_score_gemma":0.002590871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074051,"about_ca_topic_score_gemma":0.001452507,"domain_scores_codex":[0.1370033,0.7312173,0.07527119,0.02649311,0.02695611,0.003058961],"domain_scores_gemma":[0.03240291,0.9309507,0.01139907,0.02086253,0.00327191,0.001112924],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"meta_analysis","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.2039668,0.0008886664,0.04287666,0.06053648,0.5238622,0.002046111,0.0033925,0.006320553,0.002689357,0.02729367,0.01331275,0.1128143],"study_design_scores_gemma":[0.1862201,0.02682763,0.06214966,0.0203894,0.4934669,0.003575703,0.001196535,0.03106231,0.008092418,0.1368872,0.02869154,0.001440607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721395,0.198177,0.4693277,0.03481491,0.0382584,0.0418487,0.009762785,0.002564645,0.03310634],"genre_scores_gemma":[0.8000425,0.005872407,0.1327836,0.01294652,0.003283261,0.04048625,0.001283274,0.000702223,0.002599926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3240458,"threshold_uncertainty_score":0.3996062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4496036961322021,"score_gpt":0.4277629422532452,"score_spread":0.0218407538789569,"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."}}