{"id":"W2415302256","doi":"10.1016/j.transci.2011.10.026","title":"Editorial","year":2011,"lang":"en","type":"editorial","venue":"Transfusion and Apheresis Science","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Apheresis Group","funders":"","keywords":"Subject (documents); SAFER; Political science; Medicine; Library science; Service (business); Blood transfusion; Engineering ethics; Business; Computer science; Surgery; Engineering; Computer security","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001378524,0.0003726314,0.0003543232,0.0005341705,0.0008925917,0.001027339,0.0008014077,0.0005223752,0.002114456],"category_scores_gemma":[0.0005948253,0.0003158273,0.0001081262,0.001086475,0.0006481822,0.002745378,0.0001630241,0.000739589,0.0003977891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001867979,"about_ca_system_score_gemma":0.0002828171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002136944,"about_ca_topic_score_gemma":0.0006620139,"domain_scores_codex":[0.996324,0.00001553851,0.0003809916,0.0009034215,0.00192614,0.0004499313],"domain_scores_gemma":[0.9984078,0.0002140218,0.0002468437,0.0003535072,0.0007173371,0.00006045385],"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":[0.0000919298,0.00009095743,0.00002676053,0.0001207122,0.000008532811,0.000002691821,0.00005566933,1.611522e-7,0.0005241869,0.003491953,0.9877387,0.007847714],"study_design_scores_gemma":[0.0007853147,0.00001731294,0.0000871108,0.00007583396,0.000115363,4.89425e-7,0.00008540105,0.00002971211,0.00007418214,0.001198874,0.9971173,0.0004131182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0005954829,0.0001409337,0.00004838626,0.0002595464,0.9150205,0.0002392449,0.00001456813,0.0001895631,0.08349179],"genre_scores_gemma":[0.002331366,0.001107471,0.0001178729,0.0003465977,0.995149,0.00002023984,0.00002547695,0.00004074939,0.0008612118],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.08263057,"threshold_uncertainty_score":0.9999294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460717321320192,"score_gpt":0.2448266448083563,"score_spread":0.2302194715951544,"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."}}