{"id":"W2088076737","doi":"10.2144/000112441","title":"Approach for Assessing Total Cellular DNA Damage","year":2007,"lang":"en","type":"article","venue":"BioTechniques","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; National Institute of Standards and Technology; National Research Foundation","keywords":"DNA damage; Genotoxicity; Computational biology; Population; Comet assay; Biology; Computer science; DNA; Genetics; Medicine; Toxicity","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037636,0.0001379574,0.0001176987,0.00005015112,0.0001004206,0.00004989195,0.0001243687,0.0002539768,0.000004779016],"category_scores_gemma":[0.00001953964,0.0001341715,0.0001265885,0.00006225287,0.0000501668,0.000004139249,0.00008647356,0.00007087243,6.131767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002319246,"about_ca_system_score_gemma":0.00003707815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001402635,"about_ca_topic_score_gemma":0.000003997902,"domain_scores_codex":[0.9991229,0.00001775888,0.0001717951,0.0003141189,0.00009925964,0.0002741883],"domain_scores_gemma":[0.9995127,0.000008182546,0.00005883343,0.0002936921,0.00005956834,0.00006701546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002596125,0.00006831888,0.0001374105,0.00002346641,0.00001516558,0.000001890555,0.00001114659,0.000002607236,0.9951573,0.0002579538,0.001116168,0.003182623],"study_design_scores_gemma":[0.0001530693,0.0001631538,0.001051894,0.000005177113,0.00001175449,0.000007730127,0.00007639147,0.0001154777,0.9796084,0.00004854732,0.01857031,0.000188161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4382997,0.0001356214,0.5591435,0.00002856508,0.00003741854,0.0002903378,0.00001424952,0.00004159226,0.002008939],"genre_scores_gemma":[0.8703811,0.00001419167,0.1285879,0.0001313013,0.0003153679,0.00003105528,0.0002109516,0.00002352594,0.000304652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4320813,"threshold_uncertainty_score":0.5471355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576136545757149,"score_gpt":0.2939983325790176,"score_spread":0.2782369671214461,"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."}}