{"id":"W4392888279","doi":"10.1111/trf.17723","title":"Managing blood product shortages: Unprecedented challenges require novel solutions","year":2024,"lang":"en","type":"letter","venue":"Transfusion","topic":"Blood transfusion and management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Library science; Economic shortage; Medicine; Gerontology; Philosophy; Computer science; Government (linguistics)","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":[0.006317331,0.0009204829,0.001338801,0.0006937334,0.006562934,0.00725222,0.001962862,0.08288773,0.01271197],"category_scores_gemma":[0.02354772,0.0006962894,0.001381737,0.0007380367,0.004250833,0.008108931,0.003144204,0.05805001,0.006105963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004855795,"about_ca_system_score_gemma":0.0120629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00576599,"about_ca_topic_score_gemma":0.01420768,"domain_scores_codex":[0.994852,0.00156981,0.0005951916,0.0004909209,0.001681565,0.0008104979],"domain_scores_gemma":[0.9864442,0.005915479,0.0008658983,0.000290799,0.002481541,0.004002138],"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":[0.00003491009,0.00007195581,0.0005659704,0.00005228724,0.00001106963,0.001671708,0.0001573574,0.00008544312,0.0002351633,0.005231922,0.9805132,0.0113691],"study_design_scores_gemma":[0.0001011635,0.00009505251,0.0009039203,0.0004536542,0.00002419332,0.00239999,0.001145436,0.0008726462,0.0001671385,0.02809844,0.9656578,0.00008061457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001532826,0.0004838927,0.0001078973,0.9917313,0.005678741,0.000005362654,0.000009720481,0.00001449942,0.001815293],"genre_scores_gemma":[0.002007817,0.0008720235,0.0004654887,0.9599586,0.03140332,0.00002094942,0.00001392408,0.00002126107,0.005236654],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08288773,"threshold_uncertainty_score":0.04252577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05713792776333453,"score_gpt":0.2773435114865171,"score_spread":0.2202055837231826,"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."}}