{"id":"W2959422598","doi":"10.1111/trf.15260","title":"Trends and outcomes in multicomponent blood transfusion: an 11‐year cohort study of a large multisite academic center","year":2019,"lang":"en","type":"article","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Blood Services","keywords":"Medicine; Odds ratio; Blood product; Cryoprecipitate; Confidence interval; Blood transfusion; Retrospective cohort study; Odds; Transfusion medicine; Emergency medicine; Cohort study; Internal medicine; Intensive care medicine; Fibrinogen; Surgery; Logistic regression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001201607,0.0002962072,0.0004290634,0.001293245,0.0009398489,0.001196621,0.0007552026,0.000512409,0.00105714],"category_scores_gemma":[0.002243295,0.0004680705,0.0007184278,0.00209398,0.000443916,0.0009632435,0.001148336,0.0008703753,0.000202623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552424,"about_ca_system_score_gemma":0.001816056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06034105,"about_ca_topic_score_gemma":0.08279046,"domain_scores_codex":[0.9990115,0.0001551611,0.0001353553,0.0002684627,0.0002049697,0.0002245207],"domain_scores_gemma":[0.9970167,0.0002186772,0.001449654,0.0002485338,0.0004212478,0.0006452917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002070946,0.00002240386,0.9995317,0.000002739736,0.00002373763,0.00002409889,0.000102325,0.000008976363,0.00004453438,0.000005416567,0.00004134132,0.0001719635],"study_design_scores_gemma":[0.000002832035,0.00005154496,0.9990938,0.000006211786,0.00001708014,0.00009543669,0.0005404511,0.00009092809,0.00002199963,0.000004292614,0.00007156548,0.000003856294],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993669,0.00007814246,0.00004258957,0.00003745832,0.000002689542,0.00001091472,0.0003633333,0.000002004908,0.0000958494],"genre_scores_gemma":[0.9993538,0.00009192404,0.00007524433,0.0000319012,0.000004905738,0.00001207612,0.0003683342,0.000001945269,0.00005994918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06034105,"threshold_uncertainty_score":0.1199797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294429927067917,"score_gpt":0.289722902370362,"score_spread":0.2767786030996828,"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."}}