{"id":"W2076442365","doi":"10.1002/em.20614","title":"New and emerging technologies for genetic toxicity testing","year":2010,"lang":"en","type":"review","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Centre for the Replacement, Refinement and Reduction of Animals in Research; Health and Environmental Sciences Institute","keywords":"Workgroup; Emerging technologies; Risk assessment; Hazard; Relevance (law); Risk analysis (engineering); Engineering ethics; Biology; Medicine; Computer science; Engineering; Political science; Computer security","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":[0.002795401,0.002002484,0.001948605,0.006459418,0.0006398427,0.001960963,0.002083061,0.002752907,0.003837247],"category_scores_gemma":[0.001780563,0.0007108258,0.001168782,0.005303814,0.002197731,0.004542156,0.001403395,0.004538473,0.004004914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975874,"about_ca_system_score_gemma":0.00214919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001873,"about_ca_topic_score_gemma":0.002208516,"domain_scores_codex":[0.9983847,0.0003124029,0.000164585,0.00028828,0.0007823891,0.00006760125],"domain_scores_gemma":[0.9985173,0.0008407359,0.0001515029,0.00007773797,0.0003456756,0.00006694744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004179234,0.000147221,0.0002325727,0.01392882,0.00006494579,0.0004469607,0.0001615902,0.001058255,0.00684757,0.03039921,0.02656174,0.9201093],"study_design_scores_gemma":[0.00001028105,0.00007084617,0.0002697012,0.001845417,0.00003262172,0.001448319,0.00007209084,0.0001855298,0.001847068,0.006681546,0.9875063,0.00003037047],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001359124,0.9926946,0.002451554,0.0005504098,0.000379517,0.00002131326,0.00002377845,0.00002746316,0.003715535],"genre_scores_gemma":[0.001102376,0.993294,0.002794033,0.0005040231,0.0002869814,0.00003536359,0.00004694575,0.000006304021,0.001929957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006459418,"threshold_uncertainty_score":0.01478368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350902799445928,"score_gpt":0.2610920055974567,"score_spread":0.2475829776029974,"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."}}