{"id":"W2297068663","doi":"10.1142/s0218339016500054","title":"COMPARATIVE DYNAMICS OF MONOVALENT AND BIVALENT VACCINATION FOR IMMUNOLOGICALLY UNRELATED PATHOGENS","year":2016,"lang":"en","type":"article","venue":"Journal of Biological Systems","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; European Commission","keywords":"Vaccination; Bivalent (engine); Pathogen; Virology; Biology; Vaccine efficacy; Immunity; Immunology; Immune system; Chemistry","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":[0.0005498771,0.000311717,0.0005124911,0.000472916,0.0003127819,0.0007497051,0.0004769612,0.0006368164,0.002530479],"category_scores_gemma":[0.002610808,0.000238361,0.0004730873,0.0002219835,0.0005170233,0.0009122498,0.0004936574,0.0005759076,0.0002548727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303264,"about_ca_system_score_gemma":0.000751403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005501358,"about_ca_topic_score_gemma":0.00335338,"domain_scores_codex":[0.9998134,0.00005044435,0.000006464566,0.00003007941,0.00002566837,0.00007408966],"domain_scores_gemma":[0.9990332,0.0005280864,0.0001789782,0.00003574106,0.00008089204,0.0001430637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004928523,0.0002985235,0.01079526,0.0001237628,0.00007550447,0.0003307649,0.0002211516,0.9036826,0.04210154,0.02837172,0.001697975,0.01180847],"study_design_scores_gemma":[0.00004047967,0.0004510225,0.004562923,0.00002734038,0.00004537189,0.0001101676,0.0001614535,0.979746,0.005796275,0.007904102,0.001124303,0.00003054094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847888,0.0005163719,0.009380171,0.0003982297,0.00002207606,0.00002715786,0.0001480314,0.00004131965,0.00467783],"genre_scores_gemma":[0.9959456,0.0002577473,0.001337577,0.00006174331,0.000004389404,0.00003747404,0.0001280083,0.00001091082,0.002216466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005501358,"threshold_uncertainty_score":0.0109387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03583713355284941,"score_gpt":0.265648775426546,"score_spread":0.2298116418736966,"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."}}