{"id":"W2110563957","doi":"10.1111/pan.12723","title":"Ability of hemostatic assessment to detect bleeding disorders and to predict abnormal surgical blood loss in children: a systematic review and meta‐analysis","year":2015,"lang":"en","type":"review","venue":"Pediatric Anesthesia","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Medicine; Meta-analysis; MEDLINE; Odds ratio; Study heterogeneity; Systematic review; Diagnostic odds ratio; Confidence interval; Coagulation testing; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003564781,0.0007136349,0.008726987,0.001198322,0.00004844834,0.00003761586,0.000247643,0.0002555254,0.00001942043],"category_scores_gemma":[0.0005145076,0.0005238623,0.0008709033,0.003496256,0.00006965562,0.0001068462,0.000106724,0.0004156711,0.000005930031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001681572,"about_ca_system_score_gemma":0.0004360964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008151159,"about_ca_topic_score_gemma":0.00002307267,"domain_scores_codex":[0.9946625,0.0008672791,0.002155002,0.0009366801,0.0009060423,0.0004725174],"domain_scores_gemma":[0.9969307,0.0007307481,0.0007973983,0.0007347973,0.0002081995,0.000598193],"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":[0.00002313242,0.0002143735,0.02670275,0.948734,0.01511337,0.0001607202,0.0001680388,0.000005950131,1.584226e-8,0.000007572099,0.00002255281,0.00884748],"study_design_scores_gemma":[0.0007620611,0.0005625649,0.01236619,0.01377875,0.9697816,0.001517424,0.00003513242,0.00001094923,6.974913e-8,0.00001259529,0.000593957,0.0005786434],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01194008,0.9783744,0.00006706142,0.0003414197,0.00001005218,0.009155294,0.00004782437,0.00004629626,0.00001761359],"genre_scores_gemma":[0.008643619,0.988136,0.001845026,0.0001135737,0.00004877994,0.001057694,0.00007998118,0.00006389627,0.00001145091],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9546683,"threshold_uncertainty_score":0.9997213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02777064732648551,"score_gpt":0.3340479613803684,"score_spread":0.3062773140538829,"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."}}