{"id":"W3176931337","doi":"10.1182/blood.v130.suppl_1.4935.4935","title":"Variations in Red Blood Cell and Frozen Plasma Transfusion Rates Across 60 Ontario Community Hospitals","year":2017,"lang":"en","type":"article","venue":"Blood","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Ontario Stroke Network; University of Toronto","funders":"","keywords":"Medicine; Fresh frozen plasma; Emergency medicine; Blood transfusion; Audit; Christian ministry; Observational study; Blood management; Retrospective cohort study; Intensive care medicine; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001481843,0.0002409374,0.0003171917,0.001920233,0.001261325,0.001280627,0.001054539,0.000288235,0.001518252],"category_scores_gemma":[0.008622874,0.0003184804,0.0004356837,0.005960506,0.0008817163,0.0004617988,0.001004196,0.0002917414,0.0001523574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02182112,"about_ca_system_score_gemma":0.01901043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9033263,"about_ca_topic_score_gemma":0.945673,"domain_scores_codex":[0.9964484,0.0002869028,0.0005000081,0.0004917044,0.001570395,0.000702686],"domain_scores_gemma":[0.9871417,0.000850212,0.006563128,0.0003007967,0.003575067,0.001569112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005319776,0.000009765031,0.9950336,0.00007135469,0.00004127421,0.00007217775,0.001027867,0.00007473266,0.0001462164,0.00004387755,0.0006850082,0.002740965],"study_design_scores_gemma":[0.000003078973,0.00001798521,0.9979963,0.00003805073,0.00001397718,0.00003744795,0.001203866,0.00008832223,0.0000509192,0.000007856303,0.000536834,0.000005479711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993472,0.0006437798,0.000112853,0.000275821,0.000009106508,0.00005187319,0.003548055,0.00001459243,0.001871973],"genre_scores_gemma":[0.9975706,0.0004413837,0.0001431968,0.00008226758,0.000006858231,0.00003514595,0.001318645,0.000004529004,0.0003972686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09667367,"threshold_uncertainty_score":0.194486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0217796357578753,"score_gpt":0.2545347468871235,"score_spread":0.2327551111292482,"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."}}