{"id":"W3008259589","doi":"10.1111/tme.12669","title":"A stressful predicament for blood bankers!","year":2020,"lang":"en","type":"letter","venue":"Transfusion Medicine","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Toronto","funders":"","keywords":"Library science; Citation; Transfusion medicine; Medicine; Blood transfusion; Computer science; Surgery","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":[0.005140765,0.0008347573,0.0008941717,0.0007150045,0.007266499,0.007399977,0.001373736,0.008062361,0.06542646],"category_scores_gemma":[0.0228101,0.0004127206,0.0008281167,0.0005726298,0.00504652,0.007041906,0.004638945,0.01970324,0.02600339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002665759,"about_ca_system_score_gemma":0.002779808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233943,"about_ca_topic_score_gemma":0.003532897,"domain_scores_codex":[0.9940904,0.002233933,0.000271285,0.0004345394,0.002171596,0.0007982549],"domain_scores_gemma":[0.9806632,0.002613893,0.001606171,0.0006615447,0.003642112,0.01081309],"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":[0.00009569396,0.0001007896,0.002240095,0.00009996167,0.00003159753,0.001952735,0.000999053,0.00003829279,0.0003728176,0.002887273,0.9671864,0.02399523],"study_design_scores_gemma":[0.0000405497,0.0002368362,0.003486246,0.0007441174,0.00002950276,0.008923382,0.009967125,0.0001334706,0.0003772559,0.01276285,0.9631847,0.0001139907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006066052,0.01488939,0.001517492,0.9077698,0.04190342,0.00004275329,0.0002163117,0.0005074749,0.02708731],"genre_scores_gemma":[0.05431674,0.01707041,0.00259686,0.8325723,0.03550498,0.00009404499,0.0003027529,0.0003320641,0.05720976],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06542646,"threshold_uncertainty_score":0.2188733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148164114036577,"score_gpt":0.2528688261675159,"score_spread":0.2213871850271502,"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."}}