{"id":"W4387063184","doi":"10.1249/01.mss.0000984812.68604.8d","title":"Optimizing Resistance Training Prescription For Strength: A Systematic Review, Bayesian Network Meta-analysis, And Network Meta-regression","year":2023,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Motivation and Self-Concept in Sports","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Strength training; Credible interval; Statistics; Meta-analysis; Mathematics; Resistance training; Randomized controlled trial; Placebo; Physical therapy; Confidence interval; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03253568,0.003537614,0.01846396,0.007381401,0.0005731881,0.003275093,0.00282698,0.002029781,0.003566009],"category_scores_gemma":[0.07300334,0.001521484,0.03235762,0.00759953,0.0007597039,0.002403404,0.001615064,0.00237437,0.0003695054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003309277,"about_ca_system_score_gemma":0.004770327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009567231,"about_ca_topic_score_gemma":0.0152278,"domain_scores_codex":[0.9739357,0.01822484,0.003639019,0.002099844,0.001726604,0.0003741364],"domain_scores_gemma":[0.9423288,0.05025569,0.004381755,0.001037596,0.001720173,0.0002760118],"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":[0.00185375,0.00005037978,0.004376308,0.3197819,0.6422385,0.00009096017,0.00008815488,0.003472512,0.0001413621,0.0005753884,0.001102755,0.02622806],"study_design_scores_gemma":[0.0009310042,0.0002771328,0.00272111,0.0327856,0.9576339,0.00006129487,0.00003824485,0.001967862,0.0001016656,0.00123283,0.002217995,0.00003134663],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004157284,0.9893495,0.003872388,0.0005059146,0.0001472284,0.0006855689,0.0008284676,0.00006916962,0.0003845061],"genre_scores_gemma":[0.2393762,0.7377698,0.01516866,0.00122682,0.0004061791,0.003832053,0.001616622,0.00009139051,0.0005123237],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03253568,"threshold_uncertainty_score":0.1720672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09394211788738442,"score_gpt":0.3547242203557976,"score_spread":0.2607821024684132,"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."}}