{"id":"W2461704563","doi":"10.5500/wjt.v6.i2.291","title":"Massive haemorrhage in liver transplantation: Consequences, prediction and management","year":2016,"lang":"en","type":"review","venue":"World Journal of Transplantation","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Toronto General Hospital","funders":"","keywords":"Thromboelastometry; Medicine; Hyperfibrinolysis; Liver transplantation; Thromboelastography; Surgery; Transplantation; Cirrhosis; Shock (circulatory); Coagulopathy; Intensive care medicine; Coagulation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001462831,0.0006825085,0.001111549,0.002406107,0.0007369189,0.002186022,0.0009441745,0.001378126,0.001378435],"category_scores_gemma":[0.006204434,0.000364441,0.0005701029,0.001780908,0.0006507675,0.001613247,0.001244339,0.002552897,0.0005059367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013211,"about_ca_system_score_gemma":0.001323396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001695077,"about_ca_topic_score_gemma":0.001539976,"domain_scores_codex":[0.9988328,0.0003304707,0.0002843057,0.00009444886,0.0003291246,0.0001288263],"domain_scores_gemma":[0.9981269,0.0004743537,0.0006559636,0.00004161978,0.0003425837,0.0003586082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00101992,0.0005904663,0.66953,0.001463876,0.0001784439,0.01830787,0.0005629917,0.002242148,0.0004410052,0.002377535,0.01763136,0.2856543],"study_design_scores_gemma":[0.0001769794,0.00139486,0.8053458,0.006235949,0.0003967598,0.1300954,0.004072176,0.009974502,0.0006610358,0.0214674,0.01989293,0.0002861247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.4575051,0.4682799,0.01203912,0.04015608,0.001911391,0.0005779046,0.001220491,0.0002891292,0.01802094],"genre_scores_gemma":[0.845156,0.1386753,0.006946913,0.001393068,0.004944502,0.0001888882,0.001540165,0.0000381153,0.001117029],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002406107,"threshold_uncertainty_score":0.007736266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740034913816271,"score_gpt":0.3132148651443198,"score_spread":0.2758145160061571,"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."}}