{"id":"W2585946924","doi":"10.1182/blood.v120.21.4272.4272","title":"Hospital Demand for Blood Components in Ontario Correlates with Selected Diagnostic and Procedural Activities","year":2012,"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":"University of Toronto; University Health Network","funders":"","keywords":"Cryoprecipitate; Medicine; Apheresis; Blood management; Blood product; Health care; Emergency medicine; Platelet; Blood transfusion; Transfusion medicine; Internal medicine; Surgery","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":[0.0004118954,0.0002585494,0.0003017825,0.001168826,0.0008390465,0.0008123593,0.0009834442,0.0002567331,0.004167079],"category_scores_gemma":[0.004023263,0.0003284966,0.0006560824,0.003537368,0.0004384876,0.000323058,0.0007284474,0.0003972688,0.0002992526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01803588,"about_ca_system_score_gemma":0.01835741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9746966,"about_ca_topic_score_gemma":0.983652,"domain_scores_codex":[0.9992199,0.0000523934,0.00006762258,0.0001451564,0.0002779965,0.0002369132],"domain_scores_gemma":[0.99461,0.0004603208,0.002539579,0.0001691724,0.001434875,0.0007860388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001941221,0.000008507624,0.9978409,0.00001417091,0.0000257335,0.00002535118,0.0001130641,0.0002467674,0.00005850845,0.00003906535,0.0006903197,0.0009181714],"study_design_scores_gemma":[0.000002169133,0.000006834576,0.9985672,0.000009808722,0.000009764231,0.00001993499,0.0002204349,0.0007288696,0.00002531374,0.0000140414,0.0003917289,0.00000383724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870198,0.0002629593,0.0002545789,0.0004510664,0.000007150764,0.00002838537,0.009734509,0.00002305162,0.0022184],"genre_scores_gemma":[0.9954441,0.0001644857,0.0001625089,0.00003280575,0.000005036052,0.00001153844,0.003336554,0.000004753256,0.0008382486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02530342,"threshold_uncertainty_score":0.1308601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199671895971062,"score_gpt":0.1959493723550907,"score_spread":0.18395265339538,"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."}}