{"id":"W4385732824","doi":"10.1136/bmjopen-2022-069818","title":"Predictive performance of the STarT Back tool for poor outcomes in patients with low back pain: protocol for a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"BMJ Open","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fujian Medical University; Natural Science Foundation of Fujian Province","keywords":"Medicine; Funnel plot; Publication bias; Meta-analysis; MEDLINE; Protocol (science); Cochrane Library; Low back pain; Statistic; Physical therapy; Confidence interval; Alternative medicine; Internal medicine; Statistics; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07900072,0.00659764,0.02055072,0.01069203,0.003152807,0.007181922,0.005494419,0.007965465,0.05546211],"category_scores_gemma":[0.09745271,0.005024295,0.03229405,0.008938923,0.004392874,0.006148669,0.004556611,0.006696219,0.006853829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01268962,"about_ca_system_score_gemma":0.04195237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004940319,"about_ca_topic_score_gemma":0.009081887,"domain_scores_codex":[0.9619551,0.01732469,0.01144871,0.002964956,0.004401526,0.001905104],"domain_scores_gemma":[0.9595515,0.01399078,0.01109389,0.003918327,0.009784082,0.00166149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01676795,0.0003933679,0.001025848,0.9126953,0.01173056,0.0005104024,0.001060802,0.001667448,0.001607681,0.003479175,0.0216557,0.02740577],"study_design_scores_gemma":[0.0916373,0.00470558,0.009587919,0.6212999,0.07712159,0.0008180172,0.001470339,0.003725226,0.004308123,0.01653847,0.1679069,0.0008807856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004473095,0.002684017,0.001650847,0.0004378893,0.0003306011,0.9909866,0.002958308,0.0001308221,0.0003735447],"genre_scores_gemma":[0.0004321719,0.0009086597,0.002159898,0.0001745702,0.00002677065,0.9957212,0.0003895126,0.000008770508,0.0001783248],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07900072,"threshold_uncertainty_score":0.4178007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1245757298634884,"score_gpt":0.438684633225224,"score_spread":0.3141089033617356,"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."}}