{"id":"W2159825085","doi":"10.1111/j.1537-2995.2006.00780.x","title":"Understanding the donor can correct the nation's blood imbalance","year":2006,"lang":"en","type":"letter","venue":"Transfusion","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Economic shortage; Blood supply; Atlanta; Evening; Blood donations; Blood collection; Medical emergency; Business; Environmental health; Blood transfusion; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01053866,0.000755613,0.0006106834,0.000866999,0.006432023,0.01084777,0.00151175,0.00961613,0.0321081],"category_scores_gemma":[0.02740952,0.0003514029,0.0006634555,0.0005266226,0.007579619,0.01394931,0.007428492,0.01832334,0.01059807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232535,"about_ca_system_score_gemma":0.008193647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002252835,"about_ca_topic_score_gemma":0.005558759,"domain_scores_codex":[0.9967772,0.001461045,0.000155671,0.0003346482,0.0007190791,0.0005523107],"domain_scores_gemma":[0.9923037,0.0036567,0.0004540927,0.0006625847,0.001398356,0.001524534],"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":[0.00005951449,0.00006729061,0.0007155521,0.0001934551,0.00001749744,0.0002911018,0.002631694,0.000071029,0.0001760511,0.1067722,0.8076384,0.0813663],"study_design_scores_gemma":[0.00001725213,0.00002503328,0.0001937621,0.0005275101,0.00001417292,0.0002670128,0.00204503,0.00005952777,0.0001453577,0.05105395,0.9456344,0.00001706251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001490958,0.02528142,0.003091646,0.8522318,0.06368528,0.00002400348,0.00007372398,0.0002018397,0.05391927],"genre_scores_gemma":[0.07630146,0.05501292,0.007212683,0.7102115,0.05965769,0.0001087796,0.0002606929,0.0004935851,0.09074063],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0321081,"threshold_uncertainty_score":0.1074123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04948281820728666,"score_gpt":0.2254293217705177,"score_spread":0.175946503563231,"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."}}