{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070839,0.001492218,0.0008662072,0.0009279316,0.0003676276,0.0008205179,0.001180495,0.001239459,0.002716003],"category_scores_gemma":[0.001445487,0.0004359856,0.001040277,0.0005146151,0.0003208811,0.0009299691,0.000782897,0.001238801,0.0006815967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004101832,"about_ca_system_score_gemma":0.001144721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507404,"about_ca_topic_score_gemma":0.002529056,"domain_scores_codex":[0.9996902,0.00006378057,0.00002451718,0.00009275861,0.00008961864,0.00003912607],"domain_scores_gemma":[0.9996483,0.0001869308,0.00003610638,0.00002476626,0.00007330278,0.00003054394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009089191,0.0005555761,0.01260746,0.0007598672,0.000462706,0.001048796,0.0001363056,0.3404127,0.03876282,0.006349522,0.02140671,0.5765886],"study_design_scores_gemma":[0.00004628325,0.0001061987,0.0005252645,0.00001836582,0.00003548149,0.0001141922,0.00001313017,0.9887783,0.005156049,0.001737768,0.003455344,0.0000135899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0506881,0.001353413,0.9256129,0.0004206789,0.0002261709,0.000364128,0.00117313,0.01602053,0.00414099],"genre_scores_gemma":[0.2142124,0.0008073297,0.7765966,0.0007009073,0.00007413134,0.0005244679,0.003000443,0.0003992103,0.003684449],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002716003,"threshold_uncertainty_score":0.009085953,"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."}}