{"id":"W2936977976","doi":"10.1289/isesisee.2018.p03.0320","title":"Epigenetics, Built Environment and Atopy","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Noise Effects and Management","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta; Hospital for Sick Children; McMaster University; University of British Columbia","funders":"","keywords":"dNaM; Atopy; Cord blood; Medicine; Gestational age; Pregnancy; Physiology; Cohort; Fetus; Asthma; Environmental health; DNA methylation; Demography; Immunology; Internal medicine; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003580238,0.0001396041,0.0001614108,0.00004354102,0.0003744225,0.00001932186,0.0001338598,0.0001080315,0.001796],"category_scores_gemma":[0.00005718888,0.0001203519,0.00002012304,0.00002893296,0.0001648352,0.00007185831,0.0001845569,0.0002150047,0.002518092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003888511,"about_ca_system_score_gemma":0.00007357483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003575968,"about_ca_topic_score_gemma":0.0002405747,"domain_scores_codex":[0.9987614,0.0000934172,0.0002879677,0.000287437,0.0001637992,0.0004060382],"domain_scores_gemma":[0.999171,0.0001355674,0.0001283154,0.0003302917,0.00005625995,0.0001785309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000571316,0.001209878,0.09707221,0.00203096,0.0005950624,0.0002861976,0.03795872,0.0006606113,0.1008709,0.1105834,0.2317963,0.4163644],"study_design_scores_gemma":[0.0005202526,0.000166945,0.6679298,0.0001063738,0.00002366895,5.395818e-7,0.0005094303,0.00002106874,0.00107651,0.003418378,0.3260389,0.0001881626],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414229,0.0001291607,0.0005107695,0.001375483,0.0005978341,0.0006229267,0.000007226703,0.00005796631,0.0552757],"genre_scores_gemma":[0.9929471,0.000332718,0.0005520895,0.001005638,0.0005265751,0.00005356552,0.000005670086,0.00001551887,0.004561097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5708576,"threshold_uncertainty_score":0.9991165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293331116027833,"score_gpt":0.38424611064855,"score_spread":0.3113127994882717,"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."}}