{"id":"W2554173179","doi":"10.1111/trf.13848","title":"Improving transfusion practice with guidelines and prospective auditing by medical laboratory technologists","year":2016,"lang":"en","type":"letter","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Muscular Dystrophy Canada; University Health Network; University of Toronto; Lakeridge Health; Sunnybrook Health Science Centre","funders":"Society of Hospital Medicine","keywords":"Medical laboratory; Audit; Medicine; Family medicine; Transfusion medicine; Health department; Emergency department; Public health; Library science; Management; Pathology; Nursing; Internal medicine; Blood transfusion","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":[0.01765692,0.0005223913,0.0009084867,0.0009533791,0.005400708,0.007354765,0.001946721,0.06078639,0.005570908],"category_scores_gemma":[0.1345555,0.0009766821,0.001345778,0.001142843,0.003775629,0.005563455,0.003501141,0.04770872,0.002508766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007825361,"about_ca_system_score_gemma":0.02694753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081327,"about_ca_topic_score_gemma":0.02736575,"domain_scores_codex":[0.9763814,0.009161936,0.005897782,0.001199149,0.005188405,0.002171432],"domain_scores_gemma":[0.887283,0.05065007,0.01436426,0.004189717,0.01989905,0.02361381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006643704,0.0002052961,0.01056673,0.0001367307,0.00004663947,0.003520841,0.0009114943,0.0002655961,0.0003372283,0.004869778,0.9495128,0.02956041],"study_design_scores_gemma":[0.0004022019,0.0002797428,0.01979263,0.002264332,0.0001246905,0.00695158,0.002990603,0.002284561,0.0007519092,0.0236485,0.9403093,0.0001998877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006281477,0.0002035527,0.0001275541,0.9943857,0.003027403,0.00001487522,0.0000103311,0.00001151282,0.00159093],"genre_scores_gemma":[0.01044977,0.0007075862,0.001187635,0.9661463,0.01780885,0.00006795017,0.0000254065,0.00002212973,0.003584325],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06078639,"threshold_uncertainty_score":0.09337986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148362779244143,"score_gpt":0.2707632015179404,"score_spread":0.2592795737254989,"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."}}