{"id":"W2963310151","doi":"10.1016/j.yrtph.2019.104427","title":"Integrated in silico and in vitro genotoxicity assessment of thirteen data-poor substances","year":2019,"lang":"en","type":"article","venue":"Regulatory Toxicology and Pharmacology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa; Health Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Health Canada; Swansea University","keywords":"Genotoxicity; Micronucleus test; Carcinogen; Toxicology; Potency; Chemistry; Ames test; In silico; Clastogen; Micronucleus; In vitro; Pharmacology; Environmental chemistry; Toxicity; Biology; Biochemistry; Genetics; Organic chemistry","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":[0.001917806,0.0008361991,0.0008518846,0.001048093,0.0003112131,0.00144538,0.0006930979,0.0008682171,0.001237744],"category_scores_gemma":[0.002397374,0.0004553537,0.001365308,0.0006916513,0.0002751503,0.0005511671,0.0006388482,0.0004447141,0.0005392285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001038242,"about_ca_system_score_gemma":0.001949826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007814647,"about_ca_topic_score_gemma":0.01182696,"domain_scores_codex":[0.9991065,0.0002562671,0.00007409533,0.0001784171,0.0003305849,0.00005406969],"domain_scores_gemma":[0.9985843,0.0006158286,0.0001321003,0.0001296735,0.0004999903,0.00003809309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001037935,0.000587544,0.04483694,0.001388054,0.0009211658,0.0003527955,0.0001272093,0.7824846,0.1235027,0.0009314311,0.0007148903,0.04311478],"study_design_scores_gemma":[0.0001033738,0.001184037,0.01593648,0.00008859183,0.001088532,0.0002465531,0.0001418722,0.6960381,0.2784753,0.001522172,0.00509481,0.00008008155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899509,0.001339881,0.09537256,0.0002006028,0.00003721663,0.0002437404,0.006541859,0.001290168,0.005023079],"genre_scores_gemma":[0.9611237,0.000570789,0.03210374,0.00006914307,0.000005165868,0.00009696322,0.004743617,0.00006608862,0.001220752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007814647,"threshold_uncertainty_score":0.01553833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689370809041334,"score_gpt":0.3135500088503767,"score_spread":0.2966563007599634,"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."}}