{"id":"W4393262973","doi":"10.1002/em.22592","title":"Interlaboratory validation of the <scp>ToxTracker</scp> assay: An in vitro reporter assay for mechanistic genotoxicity assessment","year":2024,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"Rijksinstituut voor Volksgezondheid en Milieu; Genentech","keywords":"Genotoxicity; Reproducibility; In vivo; In vitro toxicology; Computational biology; Transferability; Bioassay; Reporter gene; Concordance; In vitro; Biology; Pharmacology; Toxicology; Chemistry; Bioinformatics; Biotechnology; Toxicity; Chromatography; Genetics; Computer science; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005839764,0.0002086347,0.0001855895,0.00006026051,0.00007522113,0.00004769884,0.0001443733,0.0001439005,0.000009494294],"category_scores_gemma":[0.00002818633,0.000177524,0.0001518797,0.00007598305,0.00008955597,0.00001197197,0.0001594484,0.00008339355,0.000001187281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007551734,"about_ca_system_score_gemma":0.00006889261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001436179,"about_ca_topic_score_gemma":0.00001391328,"domain_scores_codex":[0.9985201,0.0001871906,0.000321005,0.0005218945,0.0002232113,0.0002265528],"domain_scores_gemma":[0.9994082,0.00003128399,0.0000971257,0.0003734196,0.00001244787,0.00007750643],"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":[0.0000118911,0.0001404913,0.001336116,0.00006167956,0.0000761101,0.00001890958,0.00008421158,0.00008129812,0.9959793,0.00006637238,0.00004901092,0.002094595],"study_design_scores_gemma":[0.0002554187,0.0001892473,0.01038208,0.00001559045,0.00008233517,0.0000224527,0.0002683119,0.0009897101,0.9847618,0.0001545098,0.002783324,0.00009521859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678916,0.0008393059,0.03013664,0.00004142446,0.000169001,0.000591248,0.0002578382,0.000008956997,0.00006393571],"genre_scores_gemma":[0.9972125,0.00007502297,0.001797912,0.000191374,0.00005704323,0.000134093,0.0003482326,0.00003833034,0.0001454973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02932084,"threshold_uncertainty_score":0.7239217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006530239282147917,"score_gpt":0.2443378175224984,"score_spread":0.2378075782403505,"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."}}