{"id":"W2332047966","doi":"10.1097/eja.0000000000000179","title":"Development of a specific algorithm to guide haemostatic therapy in children undergoing cardiac surgery","year":2014,"lang":"en","type":"article","venue":"European Journal of Anaesthesiology","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Thromboelastometry; Population; Cardiac surgery; Surgery; Univariate analysis; Retrospective cohort study; Cardiopulmonary bypass; Logistic regression; Multivariate analysis; Anesthesia; Internal medicine; Coagulopathy","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":[0.003754224,0.001464631,0.001139588,0.005702275,0.0005067975,0.001625219,0.001870623,0.001245496,0.001997284],"category_scores_gemma":[0.01676289,0.0005007588,0.0009323602,0.0012943,0.0004053834,0.001502877,0.001230638,0.001782251,0.0009878032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001113366,"about_ca_system_score_gemma":0.003053153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843797,"about_ca_topic_score_gemma":0.002596558,"domain_scores_codex":[0.9977853,0.0007858696,0.0005015799,0.0003111046,0.0004859175,0.0001301923],"domain_scores_gemma":[0.9933029,0.002445864,0.001262705,0.0002043937,0.002354178,0.0004300064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006905936,0.0007039146,0.5327774,0.0009846032,0.0003930741,0.002203131,0.0005223932,0.01960219,0.004393024,0.002311695,0.03043854,0.4049795],"study_design_scores_gemma":[0.001024898,0.001969042,0.4018728,0.00338104,0.001142269,0.02420827,0.001991742,0.478073,0.01438367,0.01363705,0.05793663,0.0003795694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3256134,0.01139811,0.6288589,0.008775407,0.0009683195,0.006714832,0.003399718,0.004072792,0.01019864],"genre_scores_gemma":[0.2592519,0.002038796,0.7319385,0.000562669,0.0003284707,0.001899242,0.002854127,0.0001037885,0.001022512],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005702275,"threshold_uncertainty_score":0.01985449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291335295498504,"score_gpt":0.2659876733744652,"score_spread":0.2368541438246148,"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."}}