{"id":"W3152320567","doi":"10.1136/bmj.n830","title":"Reducing unnecessary red blood cell transfusion in hospitalised patients","year":2021,"lang":"en","type":"article","venue":"BMJ","topic":"Blood transfusion and management","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women in Science and Engineering Newfoundland and Labrador; University of Toronto","funders":"","keywords":"Medicine; Intensive care medicine; Nice; Audit; Blood transfusion; Blood management; Donation; Pandemic; Emergency medicine; Medical emergency; Coronavirus disease 2019 (COVID-19); Surgery; Disease; 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":[0.001561739,0.0002989689,0.0005038828,0.0007892795,0.0007760937,0.001737093,0.001192859,0.001713261,0.01864637],"category_scores_gemma":[0.03185616,0.000226258,0.0007158697,0.0006016656,0.0004024064,0.001253123,0.002434839,0.002336054,0.002473775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786807,"about_ca_system_score_gemma":0.004148806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006065281,"about_ca_topic_score_gemma":0.01014227,"domain_scores_codex":[0.9979439,0.0009997054,0.0001901032,0.00007122059,0.0004482427,0.0003467198],"domain_scores_gemma":[0.9923186,0.00161067,0.001515221,0.000157323,0.001077827,0.003320365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007049451,0.00138552,0.05852819,0.003289224,0.0001823291,0.0009948789,0.001540965,0.000640084,0.0003148559,0.003704808,0.4638701,0.4648441],"study_design_scores_gemma":[0.002032733,0.005308956,0.4966176,0.0311856,0.0006727663,0.004190554,0.01066553,0.002441273,0.001360731,0.01934752,0.4259357,0.0002410025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1886336,0.07295217,0.002952058,0.5475926,0.0107619,0.0009274748,0.001211777,0.0005913162,0.1743772],"genre_scores_gemma":[0.7965714,0.06707104,0.01124979,0.09419838,0.01471243,0.0008437378,0.001822743,0.0001768528,0.0133537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01864637,"threshold_uncertainty_score":0.06237841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009824086534783037,"score_gpt":0.2479527424072372,"score_spread":0.2381286558724542,"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."}}