{"id":"W3179669991","doi":"10.3389/fbinf.2021.694324","title":"EPIphany—A Platform for Analysis and Visualization of Peptide Immunoarray Data","year":2021,"lang":"en","type":"article","venue":"Frontiers in Bioinformatics","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computational biology; Visualization; Computer science; Epitope; Biology; Repertoire; Antibody Repertoire; Antigen; Data science; Immunology; Data mining","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":[0.0003262924,0.00009066004,0.0003848637,0.0003316166,0.00004344667,0.00001826413,0.0001282849,0.00006823988,0.00002692573],"category_scores_gemma":[0.0002276467,0.0000762832,0.00007336844,0.0006540318,0.00008849326,0.0002230711,0.0001431681,0.00007583897,0.000001199616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002779302,"about_ca_system_score_gemma":0.0001223356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003653168,"about_ca_topic_score_gemma":0.00003641225,"domain_scores_codex":[0.9989937,0.00001049597,0.0004525418,0.0001210626,0.0002368056,0.0001853826],"domain_scores_gemma":[0.9992425,0.00006983183,0.0001042741,0.0003663307,0.0001476677,0.00006938975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001138198,0.0003978506,0.8309446,0.004083957,0.003053669,0.00002719241,0.003780838,0.00007543548,0.001326028,0.002161284,0.04067952,0.1123314],"study_design_scores_gemma":[0.00277371,0.000311351,0.08468101,0.000241031,0.0009296208,0.00003979782,0.004528024,0.8595636,0.008216865,0.000860681,0.03756165,0.0002926278],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3135916,0.004010311,0.6735067,0.0008001365,0.0004030036,0.0008212559,0.0006480274,0.0000300724,0.006188828],"genre_scores_gemma":[0.129371,0.004758081,0.8545727,0.0004440666,0.000098481,0.00001877294,0.006935944,0.00002500814,0.003776023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8594882,"threshold_uncertainty_score":0.3110739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05111790531259611,"score_gpt":0.3503095392587165,"score_spread":0.2991916339461204,"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."}}