{"id":"W4401486093","doi":"10.1016/j.fct.2024.114916","title":"Human next-generation risk assessment of trichothecene toxicity","year":2024,"lang":"en","type":"article","venue":"Food 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":"Health Canada","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail; Alliance Nationale pour les Sciences de la Vie et de la Santé","keywords":"Trichothecene; Genotoxicity; DNA damage; Pharmacology; In vivo; Diacetoxyscirpenol; Toxicity; Comet assay; Carcinogen; Toxicology; Potency; Biology; Mycotoxin; Chemistry; In vitro; Medicine; DNA; Biochemistry; Genetics; Internal medicine; Biotechnology","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":[0.004250268,0.000866073,0.0006325286,0.001096951,0.0003662231,0.001526211,0.000998323,0.001377624,0.01088949],"category_scores_gemma":[0.004275449,0.0002852554,0.001110048,0.0007623368,0.000238014,0.0006060171,0.001218136,0.0006962197,0.002301114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001246311,"about_ca_system_score_gemma":0.001887743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007947086,"about_ca_topic_score_gemma":0.006549167,"domain_scores_codex":[0.9987326,0.0005637565,0.00004669355,0.0001825978,0.0003941282,0.00008032161],"domain_scores_gemma":[0.9980444,0.000545054,0.0002634574,0.000246478,0.0007805286,0.000120203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004961139,0.0006844625,0.2717617,0.003495024,0.002079062,0.003059362,0.0006633323,0.04068064,0.0788545,0.01223801,0.05194063,0.5295823],"study_design_scores_gemma":[0.0004122448,0.008896997,0.1787385,0.001673115,0.004711085,0.007404403,0.001561754,0.1231453,0.1312103,0.04226318,0.4996336,0.0003496216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4413896,0.03169427,0.2913657,0.00887361,0.0007750617,0.002585114,0.1026274,0.004309002,0.1163803],"genre_scores_gemma":[0.8309066,0.01293131,0.1022733,0.002570519,0.0001963784,0.001295051,0.0297326,0.0002363252,0.01985786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01088949,"threshold_uncertainty_score":0.03642899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02880718543533408,"score_gpt":0.3046473573375009,"score_spread":0.2758401719021668,"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."}}