{"id":"W2345752150","doi":"10.1080/21645515.2015.1083663","title":"Next Generation Vaccine Biomarkers workshop October 30–31, 2014 – Ottawa, Canada","year":2015,"lang":"en","type":"article","venue":"Human Vaccines & Immunotherapeutics","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research; Public Health Agency of Canada; National Research Council Canada","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada; Cancer Research Institute; Sanofi; University of Saskatchewan; Pfizer","keywords":"Context (archaeology); Translational research; Medicine; Government (linguistics); Clinical trial; Vaccination; Agency (philosophy); Political science; Immunology; Geography; Pathology","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":[0.008384603,0.00125796,0.0006533543,0.001340724,0.006858014,0.006333494,0.002852064,0.005243085,0.06157035],"category_scores_gemma":[0.004691269,0.000680048,0.001169815,0.0008942594,0.002363027,0.001538628,0.003770142,0.004413119,0.01164747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05563302,"about_ca_system_score_gemma":0.123527,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.815245,"about_ca_topic_score_gemma":0.9316332,"domain_scores_codex":[0.995573,0.0004728894,0.0001208959,0.0003851319,0.001986077,0.001461917],"domain_scores_gemma":[0.9923676,0.0002587956,0.0001547464,0.0001133128,0.003858464,0.003247139],"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":[0.0002499635,0.0000757005,0.001367652,0.0001651952,0.00002358792,0.0003848291,0.0005691499,0.0003883168,0.001624003,0.00279364,0.9658246,0.02653334],"study_design_scores_gemma":[0.00001982489,0.00004047337,0.001968133,0.0001808383,0.00001273788,0.00006180535,0.0009482144,0.0001420786,0.0006536078,0.0006613414,0.995282,0.00002898519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02055461,0.0450893,0.01359179,0.5077232,0.1183421,0.003595873,0.01645732,0.0009309588,0.2737149],"genre_scores_gemma":[0.05555942,0.01833,0.009896633,0.03724961,0.004547494,0.0007148618,0.006919635,0.000332234,0.8664501],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.184755,"threshold_uncertainty_score":0.4036477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04670597636056809,"score_gpt":0.2654704116192921,"score_spread":0.218764435258724,"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."}}