{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004000878,0.0004758124,0.0003623733,0.00009306969,0.0002845464,0.0001909016,0.0005621935,0.0002576496,0.000181683],"category_scores_gemma":[0.00004469042,0.0004365337,0.0001397861,0.0001861569,0.00002296334,0.00003587995,0.0001777966,0.0001924807,0.00004524587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132031,"about_ca_system_score_gemma":0.0005216224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01377999,"about_ca_topic_score_gemma":0.06036477,"domain_scores_codex":[0.9978637,0.0000775986,0.0007558882,0.000433208,0.0003072488,0.0005623518],"domain_scores_gemma":[0.9981353,0.00001688164,0.00030739,0.001027767,0.0003378431,0.0001747773],"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":[0.0002200315,0.0001985818,0.006342274,0.00005191522,0.0009376134,0.000005350755,0.0003299799,0.0005576268,0.411657,0.000319128,0.5717329,0.007647607],"study_design_scores_gemma":[0.005028141,0.0004839461,0.005764132,0.0000340357,0.0001728843,0.00007410709,0.001104711,0.003641294,0.046908,0.0000950004,0.9353988,0.001294958],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804881,0.0136574,0.000933661,0.000805971,0.0009651171,0.0005455862,0.0000228425,0.00005636094,0.002525017],"genre_scores_gemma":[0.9902558,0.0005497539,0.0009725986,0.002072836,0.0009311822,0.00005153868,0.0009375351,0.0001172474,0.00411147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.364749,"threshold_uncertainty_score":0.9998087,"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."}}