{"id":"W2094569890","doi":"10.1016/j.transci.2003.08.010","title":"Tissue archives to track blood borne pathogens in people receiving blood products","year":2003,"lang":"en","type":"article","venue":"Transfusion and Apheresis Science","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Health Canada; Novo Nordisk","keywords":"Blood clotting; Blood bank; Blood collection; Tissue bank; Variety (cybernetics); Medicine; Intensive care medicine; Business; Medical emergency; Pathology; Internal medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001022888,0.0003171213,0.0003635346,0.002587965,0.0009967701,0.0009928496,0.0006895119,0.0007075924,0.003256787],"category_scores_gemma":[0.003505688,0.0002516847,0.0002212556,0.001264708,0.0002795833,0.001044034,0.0007198005,0.0009541643,0.001356089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000394772,"about_ca_system_score_gemma":0.0008747269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005831816,"about_ca_topic_score_gemma":0.006127612,"domain_scores_codex":[0.9993932,0.0001601291,0.00008655594,0.00007367165,0.0002224549,0.00006392676],"domain_scores_gemma":[0.9979837,0.0004498406,0.0003045259,0.0002240428,0.0008279576,0.0002099044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001326281,0.0003780509,0.7036878,0.0006602813,0.00007485575,0.00347556,0.002732361,0.0003134597,0.03527176,0.0008980338,0.00955906,0.2416224],"study_design_scores_gemma":[0.0001257961,0.002607339,0.7125962,0.0007069059,0.0006787064,0.03059485,0.009328868,0.003854694,0.1506573,0.002158977,0.08656783,0.0001224874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531349,0.01060351,0.009987962,0.001567639,0.0005331289,0.0004314129,0.003644951,0.0008899877,0.0192065],"genre_scores_gemma":[0.9538193,0.006380364,0.02217561,0.0007451414,0.0002595569,0.0002339478,0.001919024,0.000123916,0.01434316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005831816,"threshold_uncertainty_score":0.01159573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007022536831435859,"score_gpt":0.2485202938328509,"score_spread":0.241497757001415,"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."}}