{"id":"W130324449","doi":"10.1002/9780813807263.ch6","title":"Genomics and Proteomics in Allergy","year":2009,"lang":"en","type":"other","venue":"","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Allergy; Proteomics; Genomics; Biology; Immunology; Computational biology; Gene; Medicine; Genetics; Genome","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":[0.00002667145,0.0001289105,0.0001240506,0.00004352454,0.00001064112,0.00000574237,0.00005663442,0.0004887391,0.00004686902],"category_scores_gemma":[0.00000452619,0.0001053853,0.00002372164,0.00001968481,0.00004282414,1.301882e-7,0.00006138862,0.00008943326,0.000007082452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004624371,"about_ca_system_score_gemma":0.00001898497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005015255,"about_ca_topic_score_gemma":0.0006913751,"domain_scores_codex":[0.9995565,0.000009945225,0.00007911312,0.0002148822,0.00002493524,0.0001145696],"domain_scores_gemma":[0.9998153,7.004388e-7,0.00003446163,0.0001212425,0.000004586602,0.00002367156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002500315,0.00005455107,0.0001476229,0.00003583338,0.0002030048,0.000007744966,0.00002915492,0.000002060307,0.03101798,0.0002591387,0.9620128,0.006205101],"study_design_scores_gemma":[0.0002607493,0.00006054646,0.0001675638,0.00002291597,0.000003877485,0.000004966116,0.00001488792,0.000003103431,0.002936518,0.00002663798,0.9963331,0.0001651926],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001409646,0.01511783,0.00008533974,0.0001840497,0.00008351243,0.0002414675,0.000007113254,0.00001926598,0.9828518],"genre_scores_gemma":[0.000581788,0.03337221,0.003749378,0.0003346143,0.0002198529,0.000005984741,0.00004668167,0.0001204238,0.9615691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03432024,"threshold_uncertainty_score":0.4297487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003724097052374374,"score_gpt":0.2040853589515573,"score_spread":0.2003612618991829,"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."}}