{"id":"W1975392270","doi":"10.1016/j.molimm.2008.10.013","title":"Deciphering epitope specificities within polyserum using affinity selection of random peptides and a novel algorithm based on pattern recognition theory","year":2008,"lang":"en","type":"article","venue":"Molecular Immunology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Epitope; Monoclonal antibody; Linear epitope; Epitope mapping; Computational biology; Antibody; Selection (genetic algorithm); Biology; Virology; Computer science; Artificial intelligence; Immunology","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":[0.0006187792,0.000543379,0.0007826479,0.0008536156,0.000379452,0.0006430409,0.0007925928,0.0005839668,0.0008423846],"category_scores_gemma":[0.001137485,0.0003205625,0.000626421,0.0005233036,0.0003680908,0.0007931337,0.0004149224,0.000652286,0.0002825292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372076,"about_ca_system_score_gemma":0.0005040971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007233932,"about_ca_topic_score_gemma":0.000870902,"domain_scores_codex":[0.9997885,0.00004935086,0.00001448086,0.00005858487,0.00005951022,0.00002969761],"domain_scores_gemma":[0.9994553,0.0003101059,0.00005883265,0.00004516012,0.0001020785,0.00002851812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000655368,0.00022369,0.005442576,0.0002686111,0.0001587139,0.0002702324,0.0001418887,0.1924289,0.2519238,0.01671666,0.001216636,0.5305529],"study_design_scores_gemma":[0.00002934885,0.0001000394,0.0005969357,0.000004188204,0.00003083957,0.0001175656,0.00001387664,0.9677604,0.02528273,0.005586185,0.000465771,0.00001211085],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09502272,0.0001064543,0.9036896,0.0000559423,0.00001856702,0.00004535377,0.00002733867,0.000511348,0.0005226565],"genre_scores_gemma":[0.3697388,0.0001461586,0.628925,0.00007960218,0.00002167528,0.0001042908,0.00015256,0.00009613831,0.0007358566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008536156,"threshold_uncertainty_score":0.003272474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04476201797980432,"score_gpt":0.2804184651118629,"score_spread":0.2356564471320586,"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."}}