{"id":"W2808581515","doi":"10.2217/epi-2017-0164","title":"The Effect of Inflammation-Related Lifestyle Exposures and Interactions with Gene Variants on Long Interspersed Nuclear Element-1 DNA Methylation","year":2018,"lang":"en","type":"article","venue":"Epigenomics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Institute of Mental Health; Canadian Institutes of Health Research","keywords":"Biology; DNA methylation; Genetics; Gene; Inflammation; Methylation; DNA; Epigenetics; Computational biology; Bioinformatics; Gene expression; Immunology","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":[0.0003678705,0.0002581021,0.0002405642,0.0002976476,0.000146629,0.0002603234,0.0001639062,0.0002335485,0.001707459],"category_scores_gemma":[0.001406812,0.0001230217,0.0003122973,0.0003997735,0.0001752837,0.0001606518,0.0001958455,0.000254873,0.0001341574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125476,"about_ca_system_score_gemma":0.0001804279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001957807,"about_ca_topic_score_gemma":0.002761703,"domain_scores_codex":[0.9997361,0.0001005761,0.00001468308,0.00007497923,0.000037643,0.00003596672],"domain_scores_gemma":[0.9991677,0.0002976456,0.0003330822,0.00005427894,0.00004777563,0.00009960811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007360992,0.00006767206,0.9866503,0.0000294318,0.0003696202,0.00007585281,0.00006418069,0.0001210573,0.00748417,0.0000389277,0.00003475996,0.00432783],"study_design_scores_gemma":[0.000004148774,0.0001654435,0.998558,0.000003199559,0.00008673453,0.00009357021,0.00002505169,0.0002605474,0.0006786496,0.00003905768,0.00008387723,0.000001677565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985694,0.0006113694,0.0003583141,0.00004478395,0.000003551743,0.000003612136,0.0001846788,0.000005158075,0.0002191885],"genre_scores_gemma":[0.9993673,0.000139635,0.00019227,0.00001262949,0.000004180654,0.000002476613,0.00009042376,0.000001798075,0.000189352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001957807,"threshold_uncertainty_score":0.005712032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004601710797304451,"score_gpt":0.237192641982352,"score_spread":0.2325909311850475,"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."}}