{"id":"W1633530489","doi":"10.3109/01480545.2015.1012211","title":"Evaluation of cytotoxic and genotoxic effects of Benodanil by using Allium and Micronucleus assays","year":2015,"lang":"en","type":"article","venue":"Drug and Chemical Toxicology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Mitotic index; EC50; Allium; Micronucleus test; Micronucleus; Genotoxicity; Chemistry; Biology; Toxicology; Mitosis; Botany; In vitro; Toxicity; Biochemistry; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003344259,0.0007643488,0.0005357141,0.0009938854,0.0003507026,0.0002458341,0.0002261401,0.0004156988,0.001333011],"category_scores_gemma":[0.0003386782,0.0001607603,0.0003513456,0.0004589372,0.0002016248,0.0002520999,0.0003200266,0.000345622,0.0002295894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001781558,"about_ca_system_score_gemma":0.0002802008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001092141,"about_ca_topic_score_gemma":0.002850425,"domain_scores_codex":[0.9995522,0.0001009573,0.00006722371,0.00007080183,0.000167273,0.00004148355],"domain_scores_gemma":[0.9995854,0.00007319666,0.00009227608,0.00002768224,0.0001861498,0.00003530962],"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":[0.0001841573,0.00007271113,0.003552068,0.0004160141,0.00003560246,0.0001349767,0.00006807272,0.0001431018,0.98893,0.00006101109,0.00005042773,0.006351765],"study_design_scores_gemma":[0.00001755718,0.001546737,0.02121312,0.00003874128,0.000110327,0.0003959521,0.0001749071,0.0003845331,0.9725376,0.0001306991,0.003431585,0.0000182532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565248,0.02508732,0.01132524,0.0001703441,0.0001043844,0.000229499,0.001188985,0.00009202115,0.005277489],"genre_scores_gemma":[0.9602218,0.01662829,0.01478754,0.0001577727,0.00004125512,0.0002814757,0.001501276,0.00002481678,0.00635579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001333011,"threshold_uncertainty_score":0.004459321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829381169579297,"score_gpt":0.2762323696755247,"score_spread":0.2579385579797317,"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."}}