{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003069232,0.0016223,0.001130258,0.002240241,0.0005151652,0.00193508,0.002098748,0.0007467531,0.02085693],"category_scores_gemma":[0.004841866,0.0008176682,0.0009436556,0.001029482,0.000500442,0.001906378,0.002410817,0.001627832,0.00565733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446101,"about_ca_system_score_gemma":0.001525959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001671335,"about_ca_topic_score_gemma":0.002103428,"domain_scores_codex":[0.9988372,0.0001930954,0.0001054127,0.0002848123,0.0004698444,0.0001097297],"domain_scores_gemma":[0.9975799,0.00133796,0.0002589411,0.0003102626,0.0003411867,0.0001718119],"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":[0.00429926,0.0003477368,0.007149181,0.002549383,0.00116519,0.001920851,0.001434672,0.008377913,0.2487758,0.02042039,0.2967079,0.4068518],"study_design_scores_gemma":[0.0007811784,0.0004689131,0.01467218,0.0004822424,0.0003003783,0.001759594,0.000308829,0.2731899,0.2953073,0.02582709,0.3862604,0.0006419829],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01026562,0.0006380331,0.6785393,0.0004354385,0.000237635,0.000463867,0.01556545,0.2880043,0.00585025],"genre_scores_gemma":[0.07699888,0.001080116,0.8622089,0.0009444362,0.0001670468,0.002728757,0.02158638,0.02481667,0.009468897],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.02085693,"threshold_uncertainty_score":0.06977344,"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."}}