{"id":"W2059163514","doi":"10.1016/j.tibtech.2007.12.006","title":"Computer-aided biotechnology: from immuno-informatics to reverse vaccinology","year":2008,"lang":"en","type":"review","venue":"Trends in biotechnology","topic":"vaccines and immunoinformatics approaches","field":"Biochemistry, Genetics and Molecular Biology","cited_by":123,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Informatics; Computer science; Variety (cybernetics); Data science; Scale (ratio); Reverse vaccinology; Computational biology; Genome; Biology; Artificial intelligence; Engineering; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0001844397,0.001080845,0.002528885,0.002299339,0.0001364927,0.00003800192,0.002162577,0.005269489,0.00006551212],"category_scores_gemma":[0.00009961745,0.00098585,0.0006216503,0.001653869,0.000248044,0.00001425377,0.001969946,0.001401456,0.000359911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165672,"about_ca_system_score_gemma":0.0001855334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001450745,"about_ca_topic_score_gemma":0.00009584181,"domain_scores_codex":[0.9957613,0.0001133401,0.002040006,0.0008711867,0.0001709282,0.001043267],"domain_scores_gemma":[0.9964135,0.0000455322,0.0008049278,0.002567492,0.00005188173,0.0001166365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002874843,0.0001118272,0.000004226448,0.0003937776,0.0003315625,0.00002394129,0.00007973859,0.00001065498,0.0002025197,0.0002841871,0.01371948,0.9848093],"study_design_scores_gemma":[0.0007590026,0.000648526,0.00001455816,0.0007533173,0.0001257678,0.0005189376,0.0000874794,0.00009270955,0.001058746,0.00003745655,0.9949221,0.0009813717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0017336,0.9933516,0.00173633,0.0007417069,0.0007664055,0.0007247092,0.0002554661,0.0002722045,0.0004179404],"genre_scores_gemma":[0.0000722132,0.9749275,0.02157943,0.0003440775,0.0002051188,0.0001645704,0.002280658,0.000118747,0.0003077053],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9838279,"threshold_uncertainty_score":0.9992592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141667523354097,"score_gpt":0.2919297228145195,"score_spread":0.2605130475809785,"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."}}