{"id":"W4200627725","doi":"10.1186/s13018-021-02847-y","title":"Comparative efficacy of 5 suture configurations for arthroscopic rotator cuff tear repair: a network meta-analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Orthopaedic Surgery and Research","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Honghui Hospital","keywords":"Medicine; Rotator cuff; Shoulders; Meta-analysis; Randomized controlled trial; Inclusion and exclusion criteria; Orthopedic surgery; Surgery; Rotator cuff injury; Arthroscopy; Retrospective cohort study; Cohort study; Physical therapy; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00330463,0.0001377352,0.001638172,0.0004441521,0.0002309322,0.00002781072,0.00004792238,0.000103864,0.000733066],"category_scores_gemma":[0.0009840986,0.00008858297,0.002533728,0.001285429,0.0002240974,0.00009107976,0.00002805807,0.0004631716,0.000001592359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002958407,"about_ca_system_score_gemma":0.0008615588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006637449,"about_ca_topic_score_gemma":0.00002349909,"domain_scores_codex":[0.9972646,0.0006186771,0.0008228005,0.0002205906,0.000768367,0.0003049642],"domain_scores_gemma":[0.9928361,0.004689391,0.000303925,0.0002668814,0.001627175,0.0002764848],"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":[0.006579015,0.004040309,0.2256716,0.0007459531,0.6402751,0.002569338,0.002798367,0.0008286963,0.002580118,0.001578995,0.109642,0.002690498],"study_design_scores_gemma":[0.009370118,0.004616485,0.2957981,0.0004633909,0.5262943,0.001161243,0.007083239,0.0006014398,0.05930331,0.00145875,0.09323463,0.0006150323],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9613136,0.03361209,0.0003406559,0.003498251,0.0002251503,0.0005217452,0.00004251944,0.00001231328,0.0004336921],"genre_scores_gemma":[0.9962009,0.0008932268,0.00144467,0.0001124569,0.0003865505,0.00002806628,0.00003155482,0.00001026914,0.0008923021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139808,"threshold_uncertainty_score":0.8026559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2516803999780388,"score_gpt":0.4540090085615202,"score_spread":0.2023286085834815,"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."}}