{"id":"W2280228198","doi":"10.1016/j.tmrv.2016.02.003","title":"Blood-Borne Pathogens: A Canadian Blood Services Centre for Innovation Symposium","year":2016,"lang":"en","type":"article","venue":"Transfusion Medicine Reviews","topic":"Viral Infections and Vectors","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; McMaster University Medical Centre; University of Toronto; McMaster University; Canadian Blood Services","funders":"Royal College of Physicians and Surgeons of Canada; University of Toronto; Canadian Blood Services; McMaster University","keywords":"Chikungunya; Transmission (telecommunications); Context (archaeology); Medicine; Blood transfusion; Residual risk; Transfusion medicine; Outbreak; Dengue fever; Infectious disease (medical specialty); Virology; Immunology; Environmental health; Intensive care medicine; Disease; Biology; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01418694,0.001762128,0.001006342,0.004129014,0.006859037,0.01036907,0.002379411,0.01393797,0.02032592],"category_scores_gemma":[0.008659498,0.0005973604,0.001690014,0.003263777,0.003199991,0.003496206,0.003706617,0.007505344,0.003043519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04660349,"about_ca_system_score_gemma":0.2134642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6879481,"about_ca_topic_score_gemma":0.9028156,"domain_scores_codex":[0.9919068,0.0006099236,0.0002127238,0.0002673174,0.005158267,0.001844974],"domain_scores_gemma":[0.9788835,0.0009396182,0.000446398,0.0001941036,0.009822507,0.009713805],"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":[0.00003193647,0.0000360186,0.0002116779,0.0001532075,0.00001140265,0.0000874891,0.0001027488,0.00007124205,0.0002068328,0.001908994,0.9754887,0.02168974],"study_design_scores_gemma":[0.00001492377,0.0000250681,0.001538114,0.0002552415,0.00001618458,0.00004498187,0.0002883633,0.00004948864,0.00007659069,0.0004730783,0.9971969,0.00002102323],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.001522827,0.2520217,0.0003546562,0.589959,0.1206871,0.0001548685,0.0003472107,0.0000860224,0.03486662],"genre_scores_gemma":[0.03223776,0.3789418,0.003237129,0.1707207,0.06740905,0.0001706815,0.0008905403,0.0001271935,0.3462653],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3120519,"threshold_uncertainty_score":0.6277792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02896895086026684,"score_gpt":0.2922179844549782,"score_spread":0.2632490335947114,"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."}}