{"id":"W4407285865","doi":"10.1093/jcag/gwae059.147","title":"A147 CHARACTERIZATION OF EPIGENETIC MODIFICATIONS OF HUMAN COLONOID MONOLAYERS ESTABLISHED AS <i>IN VITRO</i> CHRONIC DAMAGE MODEL","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"In vitro; Epigenetics; Characterization (materials science); Monolayer; Computational biology; Cell biology; Chemistry; Biology; Materials science; Nanotechnology; Biochemistry; Gene","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":[0.0003417197,0.00007951704,0.0003094315,0.0004490287,0.00004408057,0.000008029439,0.0002837012,0.0001011487,0.000007652395],"category_scores_gemma":[0.00004726615,0.00007987436,0.0001015094,0.0002654163,0.00003635446,0.00007772932,0.00001445557,0.0001179184,3.35517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000699866,"about_ca_system_score_gemma":0.0002864745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108683,"about_ca_topic_score_gemma":0.03759015,"domain_scores_codex":[0.9988527,0.00009484897,0.0007038463,0.00006317423,0.0001102664,0.0001751569],"domain_scores_gemma":[0.9988054,0.00002517296,0.0007109761,0.0001782005,0.0002276765,0.00005255405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003121205,0.00003133282,0.02144098,0.00003444198,0.0000804091,1.774058e-7,0.00009250303,0.02423445,0.9534402,0.0003180702,0.0002715334,0.00002466108],"study_design_scores_gemma":[0.002234508,0.0003012731,0.5166987,0.0001237274,0.0002054897,0.000003258762,0.0000547274,0.02363232,0.4549514,0.001460557,0.0002233885,0.000110726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974831,0.00001590632,0.0007347701,0.001149523,0.0001616633,0.0001580366,0.0001137415,0.000003627837,0.0001795915],"genre_scores_gemma":[0.9996595,0.00004742912,0.0001248607,0.00006962885,0.00001522415,0.000009387796,0.00001524779,0.000008709312,0.00004997387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4984888,"threshold_uncertainty_score":0.9799713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00502481085368141,"score_gpt":0.2048795046836263,"score_spread":0.1998546938299449,"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."}}