{"id":"W4394359526","doi":"10.6084/m9.figshare.23807317","title":"An immuno-informatics approach for annotation of hypothetical proteins and multi-epitope vaccine designed against the Mpox virus","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Poxvirus research and outbreaks","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Ottawa","funders":"","keywords":"Epitope; Annotation; Virology; Informatics; Computational biology; Computer science; Virus; Biology; Artificial intelligence; Immunology; Antibody; Engineering","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":[0.0004530326,0.001084036,0.001024033,0.002237874,0.0009208921,0.001115338,0.0008026899,0.000734715,0.002853052],"category_scores_gemma":[0.0008940945,0.0004835051,0.00187219,0.001613153,0.0002315824,0.0006677362,0.0006668488,0.0007599743,0.001083516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005922444,"about_ca_system_score_gemma":0.001003345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001556797,"about_ca_topic_score_gemma":0.001541456,"domain_scores_codex":[0.9997723,0.00005188867,0.00002643156,0.00007730549,0.00003947071,0.00003267753],"domain_scores_gemma":[0.9998013,0.00006155844,0.00003638705,0.00002215161,0.00004356085,0.00003510921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002070572,0.001572247,0.022658,0.003561496,0.0005406145,0.003562853,0.001437637,0.08905908,0.5595889,0.01639338,0.01054324,0.2890121],"study_design_scores_gemma":[0.0002027523,0.001020562,0.01221354,0.00030603,0.0007099719,0.001462154,0.001375948,0.8232934,0.09488898,0.01377944,0.05061954,0.0001276531],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.3400245,0.001902417,0.6332653,0.000771138,0.000191732,0.0007650173,0.009608447,0.007924849,0.005546607],"genre_scores_gemma":[0.3011825,0.001475716,0.6743726,0.0001732789,0.00004753163,0.0006580697,0.01954105,0.0006814896,0.001867672],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.002853052,"threshold_uncertainty_score":0.009544432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529281326817341,"score_gpt":0.3064181032973594,"score_spread":0.2534899706156253,"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."}}