{"id":"W4407636587","doi":"10.1111/tme.13131","title":"Red blood cell inventory management: Insights from transfusion laboratory technologists in <scp>British Columbia</scp>, <scp>Canada</scp>","year":2025,"lang":"en","type":"article","venue":"Transfusion Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Fraser Health; Provincial Health Services Authority; McMaster University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inventory management; Blood management; Business; Human blood; Operations management; Blood transfusion; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007078707,0.0004845571,0.0008014217,0.0009471191,0.0005577574,0.0003525855,0.0008384456,0.0004491873,0.0006170889],"category_scores_gemma":[0.0005669732,0.0005997732,0.0001263077,0.003533382,0.0002780944,0.001328643,0.0001255088,0.0009275016,0.00004288718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015398,"about_ca_system_score_gemma":0.0002091656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.520847,"about_ca_topic_score_gemma":0.8950405,"domain_scores_codex":[0.9956115,0.0001211012,0.001231132,0.001157751,0.001215221,0.0006632202],"domain_scores_gemma":[0.9978974,0.0006633217,0.0003459789,0.0006718168,0.0003305316,0.00009097004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001389738,0.006276861,0.218632,0.005726164,0.001045517,0.004910122,0.002322886,0.0001545428,0.07056447,0.01244371,0.634027,0.04375774],"study_design_scores_gemma":[0.01547547,0.00008296457,0.09603106,0.001882551,0.00107308,0.000005448107,0.01032203,0.0004687107,0.001964987,0.006210144,0.8662025,0.0002810545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658003,0.003993238,0.0003789224,0.003471778,0.001602732,0.001317105,0.00003024414,0.0005268282,0.1228789],"genre_scores_gemma":[0.9711698,0.01114974,0.0002411932,0.009631665,0.0005165338,0.0001881401,0.0002889453,0.00009393566,0.006720075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3741935,"threshold_uncertainty_score":0.9996454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006961408296735928,"score_gpt":0.1983584287813457,"score_spread":0.1913970204846098,"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."}}