{"id":"W4391942142","doi":"10.3390/biology13020125","title":"PoxiPred: An Artificial-Intelligence-Based Method for the Prediction of Potential Antigens and Epitopes to Accelerate Vaccine Development Efforts against Poxviruses","year":2024,"lang":"en","type":"article","venue":"Biology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Izaak Walton Killam Health Centre; Dalhousie University","funders":"Research Nova Scotia; Canadian Institutes of Health Research; Dalhousie University; Dalhousie Medical Research Foundation","keywords":"Biology; Epitope; Virology; Antigen; Computational biology; Immunology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003509005,0.0001348708,0.0001513581,0.00006568038,0.0001109403,0.00004016936,0.0001408783,0.0001219495,0.000006025356],"category_scores_gemma":[0.00003986821,0.0000898116,0.00005700593,0.00007890767,0.00002292118,0.00000675261,0.0000740735,0.00004407428,0.000001634474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006384695,"about_ca_system_score_gemma":0.00008548958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001681193,"about_ca_topic_score_gemma":0.00002305358,"domain_scores_codex":[0.9991484,0.00003701765,0.0003440432,0.0002445904,0.00004020627,0.0001857896],"domain_scores_gemma":[0.9995865,0.00003708146,0.00005769286,0.000201366,0.00007215363,0.00004519298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001807724,0.00004419415,0.0002426387,0.00007273656,0.0001356923,3.429622e-7,0.0001778595,0.001112217,0.8204756,0.0006455814,0.000227747,0.1766846],"study_design_scores_gemma":[0.0001227577,0.0006718696,0.001860094,0.00002187587,0.00004276104,0.000006814751,0.0002041876,0.03478846,0.9229962,0.0002531758,0.03888445,0.0001474157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6093218,0.001115878,0.3884442,0.0003129479,0.0002951424,0.0003990339,0.00007962048,0.0000151338,0.00001621529],"genre_scores_gemma":[0.9746609,0.0002353035,0.02424891,0.0002601958,0.0001914216,0.00007286646,0.0002953142,0.00001550975,0.00001951922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3653391,"threshold_uncertainty_score":0.3662411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04200435364864199,"score_gpt":0.3072244498927398,"score_spread":0.2652200962440978,"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."}}