{"id":"W4223431337","doi":"10.1093/toxsci/kfac041","title":"A Collaborative Initiative to Establish Genomic Biomarkers for Assessing Tumorigenic Potential to Reduce Reliance on Conventional Rodent Carcinogenicity Studies","year":2022,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Carcinogenesis; Biomarker; Computational biology; Carcinogen; Biology; Cancer; Bioinformatics; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06924465,0.00164814,0.001288105,0.00438107,0.002551852,0.004677086,0.004811024,0.003436827,0.002949274],"category_scores_gemma":[0.02164783,0.000536176,0.001666495,0.001859565,0.002089167,0.003140219,0.01365996,0.003900572,0.001344912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003017124,"about_ca_system_score_gemma":0.04327911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006029109,"about_ca_topic_score_gemma":0.00829496,"domain_scores_codex":[0.9655439,0.01336048,0.001832433,0.005240832,0.01209169,0.001930723],"domain_scores_gemma":[0.9274698,0.007774282,0.007777374,0.01444351,0.0266479,0.01588722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002233669,0.005928917,0.05232164,0.00140601,0.001086775,0.0007229018,0.002625903,0.007397328,0.2639378,0.03390393,0.05328569,0.5751494],"study_design_scores_gemma":[0.001737802,0.0152134,0.07273556,0.0009937835,0.001551196,0.002261673,0.00354685,0.01380064,0.2113453,0.01980233,0.6565875,0.0004239807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297155,0.01001815,0.7523497,0.03510475,0.003770028,0.01465727,0.004491157,0.002910975,0.04698237],"genre_scores_gemma":[0.1663089,0.003563436,0.7921444,0.007748806,0.0007449104,0.007272276,0.00660547,0.0003910059,0.01522079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06924465,"threshold_uncertainty_score":0.3662051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06013688788278583,"score_gpt":0.3707032130290847,"score_spread":0.3105663251462988,"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."}}