{"id":"W2161652210","doi":"10.1111/j.1423-0410.2010.01323.x","title":"Haemovigilance for the optimal use of blood products in the hospital","year":2010,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services","funders":"","keywords":"Library science; Medicine; Computer science","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":[0.002183425,0.0001935386,0.0002863404,0.0009641438,0.0009813608,0.001605114,0.000398489,0.0009925266,0.002555701],"category_scores_gemma":[0.01693246,0.0001160505,0.0001841993,0.0005185268,0.0004913519,0.000698064,0.0004982383,0.001167623,0.0002232311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166215,"about_ca_system_score_gemma":0.003154634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004749198,"about_ca_topic_score_gemma":0.003637317,"domain_scores_codex":[0.9978809,0.001163056,0.0002700652,0.00006534913,0.0004536505,0.0001669871],"domain_scores_gemma":[0.9957383,0.001425524,0.001205658,0.0001287217,0.0008170446,0.000684854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005978551,0.0005997175,0.7909421,0.0002854437,0.0001623607,0.005301519,0.002132514,0.001856956,0.002926667,0.00239598,0.02828589,0.164513],"study_design_scores_gemma":[0.0001030285,0.0009797231,0.9338087,0.001443014,0.0002306279,0.01385573,0.007789426,0.008721752,0.004258591,0.006325711,0.02235498,0.0001287219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885117,0.01008713,0.004534437,0.07034902,0.000635358,0.0001255117,0.0001269372,0.0002485166,0.028776],"genre_scores_gemma":[0.9953904,0.001015124,0.001902696,0.001155329,0.0001685164,0.00001485708,0.00002124983,0.00001081891,0.00032096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004749198,"threshold_uncertainty_score":0.01154721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917587648676215,"score_gpt":0.2463937342837867,"score_spread":0.2172178577970245,"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."}}