{"id":"W2071315999","doi":"10.1159/000343880","title":"Strategies to Query and Display Allergy-Derived Epitope Data from the Immune Epitope Database","year":2012,"lang":"en","type":"review","venue":"International Archives of Allergy and Immunology","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Allergy and Infectious Diseases; National Institutes of Health","keywords":"Epitope; Immunology; Allergen; Immune system; Epitope mapping; Immunotherapy; Computational biology; Immunopathology; Allergy; Autoimmunity; Biology; Antibody","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":[],"consensus_categories":[],"category_scores_codex":[0.0001457663,0.0003530607,0.001004605,0.0001588601,0.0001095022,0.00004814463,0.0007014709,0.0001650024,0.0002012157],"category_scores_gemma":[0.0001275235,0.00023629,0.0001225898,0.00006191857,0.000448353,0.0002474288,0.00133677,0.0004090875,0.00002194858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001364507,"about_ca_system_score_gemma":0.0001684156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009443012,"about_ca_topic_score_gemma":0.0003603885,"domain_scores_codex":[0.9981123,0.0002300189,0.0007058113,0.0005201795,0.0001894355,0.0002422465],"domain_scores_gemma":[0.9978167,0.0008536564,0.0003520788,0.000828801,0.00005965072,0.00008912286],"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":[0.0004267168,0.0001684267,0.00001298418,0.0003406175,0.006368894,0.00004524355,0.001038827,0.000001629399,0.001202998,0.01598784,0.0003214814,0.9740843],"study_design_scores_gemma":[0.0005556772,0.0001234783,0.004549941,0.003071365,0.000205427,0.0002417238,0.0003855277,0.0001330954,0.00001599445,0.0004656281,0.9900041,0.0002481048],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008480987,0.992862,0.001346804,0.001161586,0.000661944,0.0003786896,0.000746962,0.00001917612,0.001974695],"genre_scores_gemma":[0.003387025,0.9859833,0.001046481,0.0001443782,0.0004374977,0.00002367417,0.008683011,0.00003668271,0.000258015],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9896826,"threshold_uncertainty_score":0.9635627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354411680891225,"score_gpt":0.3209793887505565,"score_spread":0.2674352719416443,"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."}}