{"id":"W4383337711","doi":"10.1136/bjsports-2023-106807","title":"Resistance training prescription for muscle strength and hypertrophy in healthy adults: a systematic review and Bayesian network meta-analysis","year":2023,"lang":"en","type":"review","venue":"British Journal of Sports Medicine","topic":"Sports Performance and Training","field":"Medicine","cited_by":163,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; McMaster University","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Department of Health and Social Care; University of Bristol; National Institute for Health and Care Research; NIHR Bristol Biomedical Research Centre; University Hospitals Bristol NHS Foundation Trust","keywords":"Medicine; Muscle hypertrophy; Strength training; Meta-analysis; Medical prescription; Exercise prescription; Resistance training; Randomized controlled trial; Internal medicine; Physical therapy; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.02610826,0.002734188,0.01543509,0.007944223,0.0005662539,0.002835283,0.002270272,0.001986914,0.003781563],"category_scores_gemma":[0.06302314,0.001501713,0.03324994,0.007457774,0.0007702091,0.00218151,0.001499673,0.001810375,0.0002949751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002881892,"about_ca_system_score_gemma":0.003834789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009035338,"about_ca_topic_score_gemma":0.01468088,"domain_scores_codex":[0.9778406,0.01370937,0.004111818,0.002070156,0.001899101,0.0003689984],"domain_scores_gemma":[0.9539317,0.03855037,0.004948352,0.0007916464,0.001526867,0.0002509859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001966066,0.00004633903,0.007226628,0.3262738,0.6412393,0.00009509284,0.00008964783,0.001680882,0.0001372537,0.0002684976,0.0007057457,0.02027078],"study_design_scores_gemma":[0.0007281404,0.0002581961,0.005276941,0.04351544,0.9470401,0.00008404283,0.00003581419,0.001172139,0.00008233827,0.0005193822,0.001259042,0.00002836077],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.006147502,0.9901366,0.001739791,0.0003291691,0.0001130891,0.0004987408,0.0006587207,0.00003944174,0.0003369182],"genre_scores_gemma":[0.3327312,0.6528954,0.008357015,0.001208409,0.0003322294,0.002727097,0.001274041,0.00005193142,0.0004226541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02610826,"threshold_uncertainty_score":0.1380753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09855224717740459,"score_gpt":0.3448900688106678,"score_spread":0.2463378216332632,"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."}}