{"id":"W4387392210","doi":"10.1111/vox.13540","title":"Europe needs 2 million extra donors of blood and plasma: How to find them?","year":2023,"lang":"en","type":"article","venue":"Vox Sanguinis","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"","keywords":"Parliament; Directive; Commission; Negotiation; Blood donations; Economic shortage; Reimbursement; Incentive; Position (finance); European union; Business; European commission; Political science; Public administration; Law; Economics; Medicine; Finance; International trade; Health care; Blood donor; Politics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002772631,0.0001219011,0.0001451335,0.0004346419,0.0001087404,0.0001835722,0.0001442189,0.00004886523,0.0003778907],"category_scores_gemma":[0.0002177525,0.0001073115,0.00004043569,0.001554214,0.00003294657,0.0005303869,0.0001007478,0.00008058532,0.0004432328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001292388,"about_ca_system_score_gemma":0.000008727651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001277844,"about_ca_topic_score_gemma":0.00003605766,"domain_scores_codex":[0.9992485,0.00001173186,0.0001659732,0.0001876261,0.0002156304,0.0001705517],"domain_scores_gemma":[0.9994806,0.00009996741,0.0001142785,0.000158015,0.00012632,0.00002084117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005354944,0.001281393,0.2455191,0.001638835,0.0008163714,0.0002587119,0.005431603,0.0001537497,0.1331326,0.1410415,0.2139238,0.2562669],"study_design_scores_gemma":[0.001831067,0.0000417707,0.1065042,0.00007683889,0.000319771,0.000008988016,0.001960237,0.0005294782,0.004715078,0.0004685092,0.8831347,0.0004093242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585469,0.0000575281,0.00002318269,0.008314082,0.0002770949,0.0001572243,0.000007286268,0.0001400399,0.03247661],"genre_scores_gemma":[0.9962561,0.0001412593,0.0001880434,0.0008608787,0.0002785523,0.00001001858,0.00001557065,0.00002391491,0.002225696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6692109,"threshold_uncertainty_score":0.5697008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03001561409617265,"score_gpt":0.2297640173872016,"score_spread":0.1997484032910289,"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."}}