{"id":"W2135441357","doi":"10.1111/voxs.12102","title":"A fresh look at measuring quality in blood components","year":2014,"lang":"en","type":"article","venue":"ISBT Science Series","topic":"Blood transfusion and management","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of British Columbia","funders":"","keywords":"Quality (philosophy); Quality assurance; Product (mathematics); Blood product; Blood component; Risk analysis (engineering); Reliability engineering; Computer science; QA/QC; Production (economics); Process (computing); Component (thermodynamics); Operations management; Medicine; Engineering; Intensive care medicine; Surgery; Mathematics; External quality assessment","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":[0.0144593,0.001028587,0.002275152,0.004956205,0.001163853,0.007098532,0.002121008,0.003652563,0.005906582],"category_scores_gemma":[0.01841995,0.0007050863,0.001787997,0.004020887,0.005671121,0.01180751,0.001967703,0.009112746,0.001925202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003805427,"about_ca_system_score_gemma":0.002380692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820747,"about_ca_topic_score_gemma":0.003727507,"domain_scores_codex":[0.9893777,0.002928901,0.001041008,0.0008821178,0.005404172,0.0003661586],"domain_scores_gemma":[0.9815083,0.009048801,0.001473829,0.001270137,0.006088078,0.0006108197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005145362,0.0004091539,0.01624201,0.01121585,0.00056121,0.0007716865,0.001830835,0.001329911,0.0244988,0.07314052,0.1270732,0.7424123],"study_design_scores_gemma":[0.00002947108,0.001413364,0.02583934,0.007251651,0.0002704151,0.003054839,0.002104035,0.000837806,0.01511346,0.05887,0.8850001,0.0002155929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.003103575,0.9113437,0.01358831,0.05633879,0.006318748,0.00005528168,0.0002160326,0.0001282413,0.008907283],"genre_scores_gemma":[0.04345014,0.8636895,0.03415592,0.03761493,0.00995113,0.00009434545,0.0004653968,0.000198314,0.01038037],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0144593,"threshold_uncertainty_score":0.076469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04212617151152921,"score_gpt":0.286753948337137,"score_spread":0.2446277768256078,"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."}}