{"id":"W2558188208","doi":"10.1182/blood.v104.11.5303.5303","title":"Time and Cost Savings with Bio-Set® Device in Reconstituting FVIII Concentrate.","year":2004,"lang":"en","type":"article","venue":"Blood","topic":"Blood donation and transfusion practices","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vial; Medicine; Diluent; Chemistry; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002279105,0.0001178286,0.0001298912,0.000123059,0.0001341056,0.000231692,0.00008237197,0.00004714723,0.0001751234],"category_scores_gemma":[0.00005671733,0.0001021279,0.00001480362,0.000365536,0.00008716988,0.001207496,0.00003250853,0.0001239999,0.000192017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007976212,"about_ca_system_score_gemma":0.00003929792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058702,"about_ca_topic_score_gemma":0.0008508037,"domain_scores_codex":[0.9992777,0.000006495044,0.0001746876,0.0002241236,0.0001271088,0.0001899209],"domain_scores_gemma":[0.9996784,0.00004115273,0.0001162763,0.0000864094,0.00006263854,0.0000151384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004729677,0.003479962,0.7927681,0.0007664948,0.0004149202,0.0008525418,0.001662273,0.000747258,0.01209538,0.1440094,0.0004198854,0.04231082],"study_design_scores_gemma":[0.1209037,0.0002663355,0.2688422,0.00350127,0.002349665,0.0006915797,0.006708683,0.002395623,0.0174572,0.006225963,0.5659713,0.004686524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583053,0.000166421,0.0000239758,0.001783303,0.00005116561,0.0002401107,0.000001841144,0.00008410592,0.03934378],"genre_scores_gemma":[0.9976477,0.00003094602,0.0003295621,0.001785622,0.0001080792,0.000009118068,0.0000123303,0.00001202163,0.00006464684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5655514,"threshold_uncertainty_score":0.4164654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01615116727824064,"score_gpt":0.2221843108729522,"score_spread":0.2060331435947115,"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."}}