{"id":"W2795998038","doi":"10.1186/s13643-018-0716-7","title":"The use of standardized management protocols for critically ill patients with non-traumatic subarachnoid hemorrhage: a protocol of a systematic review and meta-analysis","year":2018,"lang":"en","type":"review","venue":"Systematic Reviews","topic":"Intracranial Aneurysms: Treatment and Complications","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; Ottawa Hospital; University Health Network","funders":"","keywords":"Medicine; Protocol (science); CINAHL; Meta-analysis; Data extraction; MEDLINE; Randomized controlled trial; Intensive care medicine; Subarachnoid hemorrhage; Study heterogeneity; Systematic review; Strictly standardized mean difference; Emergency medicine; Psychological intervention; Alternative medicine; Surgery; Pathology; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.003981801,0.0009603417,0.02440957,0.0002808261,0.0001804333,0.0001047489,0.0005445138,0.0001462871,0.00004439477],"category_scores_gemma":[0.003257615,0.0003611287,0.004588605,0.001179069,0.0002148892,0.000102742,0.00008714579,0.0001605319,0.0000220254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001101138,"about_ca_system_score_gemma":0.0001296338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003196308,"about_ca_topic_score_gemma":0.000004637684,"domain_scores_codex":[0.9887488,0.001883244,0.007394449,0.0006626068,0.000943288,0.0003676146],"domain_scores_gemma":[0.9856014,0.001339503,0.006438904,0.003005832,0.003465392,0.0001489834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00003427843,0.000315375,4.980531e-7,0.9474044,0.05131751,0.000002901578,0.00002767158,1.622981e-8,1.530709e-8,0.0001553524,0.0001561027,0.0005858218],"study_design_scores_gemma":[0.0005326575,0.0005373554,3.984962e-7,0.3925267,0.5948511,0.00002920189,0.000008951424,0.00001209898,1.438988e-7,0.000008795845,0.01129579,0.0001968582],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[3.530405e-8,0.4501873,0.001681913,0.00004072007,0.000004337857,0.547905,0.0001310347,0.00001180421,0.00003789401],"genre_scores_gemma":[4.820792e-7,0.2015194,0.01063577,0.0001446062,0.000008578108,0.7868549,0.00006594731,0.00005996472,0.0007103399],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.5548778,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15536743223629,"score_gpt":0.4033872428847959,"score_spread":0.2480198106485059,"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."}}