{"id":"W1979025199","doi":"10.1097/aln.0000000000000556","title":"Evaluation of a Novel Transfusion Algorithm Employing Point-of-care Coagulation Assays in Cardiac Surgery","year":2014,"lang":"en","type":"article","venue":"Anesthesiology","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"University Health Network","keywords":"Medicine; Cryoprecipitate; Thromboelastometry; Fresh frozen plasma; Cardiopulmonary bypass; Cardiac surgery; Coagulopathy; Coagulation testing; Blood transfusion; Algorithm; Point-of-care testing; Odds ratio; Confounding; Surgery; Coagulation; Internal medicine; Platelet","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007291738,0.0004454687,0.0005767417,0.0008365996,0.0002139997,0.001170125,0.000681003,0.0004607736,0.0003967697],"category_scores_gemma":[0.01657845,0.0001993619,0.0004038695,0.0007184271,0.0002854083,0.0008086509,0.0006340484,0.0006696832,0.00007483916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019183,"about_ca_system_score_gemma":0.001560637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007467119,"about_ca_topic_score_gemma":0.001022045,"domain_scores_codex":[0.996311,0.001765481,0.0004689566,0.0003411759,0.0009732513,0.0001402303],"domain_scores_gemma":[0.9857194,0.005211044,0.005926811,0.0005917647,0.002038244,0.0005127146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004526156,0.001158282,0.9097152,0.0001542977,0.0002892067,0.00009342995,0.0001692597,0.004955024,0.002261848,0.0002203944,0.0003178693,0.07613894],"study_design_scores_gemma":[0.001027431,0.02411037,0.8418059,0.0001602367,0.0009294532,0.001431058,0.0003279777,0.1176108,0.009753525,0.0005831427,0.002189179,0.00007106028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941962,0.000494746,0.004595242,0.000161194,0.00003051528,0.0001330107,0.00005395698,0.00003473229,0.0003004228],"genre_scores_gemma":[0.984498,0.0002270699,0.01494377,0.00005916619,0.00004510184,0.00005957448,0.0001099923,0.00000534616,0.00005195563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007291738,"threshold_uncertainty_score":0.03856283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05284886598425424,"score_gpt":0.3141449149395994,"score_spread":0.2612960489553451,"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."}}