{"id":"W4413341034","doi":"10.1038/s41597-026-07298-w","title":"VO: The Vaccine Ontology","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Ontology; Vaccine adjuvant; Compendium; Computer science; Adjuvant; Medicine; DNA vaccination; Immune system; Immunology; Immunization","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003092369,0.000938691,0.0008125593,0.005727623,0.002311407,0.004949895,0.002032664,0.002465575,0.009039899],"category_scores_gemma":[0.008029468,0.0007261141,0.002014787,0.0058193,0.002077656,0.01074815,0.003888257,0.003169674,0.005040557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003039878,"about_ca_system_score_gemma":0.01017551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018887,"about_ca_topic_score_gemma":0.01405348,"domain_scores_codex":[0.996599,0.0007586906,0.0006403546,0.0005483966,0.001111034,0.0003425415],"domain_scores_gemma":[0.9966542,0.001045828,0.0003665815,0.0006775049,0.0009146077,0.0003413306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008167126,0.00008875974,0.001486829,0.001056897,0.00006806224,0.0003575974,0.001164578,0.002930495,0.002591352,0.7385876,0.1318692,0.119717],"study_design_scores_gemma":[0.000009752066,0.00001238801,0.0003968407,0.0003211356,0.00002234705,0.0002980121,0.0002774421,0.002105474,0.0005279271,0.07435662,0.9216495,0.00002262919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.008454188,0.005933599,0.7141721,0.01594586,0.002800804,0.00182689,0.07923353,0.01446818,0.1571648],"genre_scores_gemma":[0.09016801,0.0133075,0.6908387,0.008611961,0.001239865,0.002370149,0.1554883,0.003933816,0.03404176],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.018887,"threshold_uncertainty_score":0.03755414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03379012968567952,"score_gpt":0.3342728949491621,"score_spread":0.3004827652634826,"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."}}