{"id":"W4410383654","doi":"10.1093/toxsci/kfaf069","title":"Integrating network analysis and machine learning to elucidate chemical-induced pancreatic toxicity in zebrafish embryos","year":2025,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Graduate Studies; Old Dominion University - College of Sciences; San Diego State University; National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Achievement Rewards for College Scientists Foundation; National Science Foundation","keywords":"Zebrafish; Danio; Biology; Computational biology; Gene; 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":[0.0005861204,0.0006432851,0.0004301873,0.001112545,0.0002375655,0.0003879535,0.0003289823,0.0002940757,0.0005462653],"category_scores_gemma":[0.0007523847,0.0001848653,0.0007435005,0.0005859458,0.0002497142,0.0004952852,0.0003642206,0.0005367182,0.000113562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006569878,"about_ca_system_score_gemma":0.0005865554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006550508,"about_ca_topic_score_gemma":0.008475296,"domain_scores_codex":[0.9998062,0.00004014411,0.00001141745,0.00007553578,0.00004056436,0.00002617564],"domain_scores_gemma":[0.9997516,0.000109398,0.00005272707,0.00002046939,0.00005382839,0.00001191171],"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":[0.0004512516,0.0001406791,0.05305944,0.0007239206,0.0005109276,0.0004629395,0.0002422435,0.3436823,0.4657143,0.00377932,0.001428093,0.1298046],"study_design_scores_gemma":[0.00001239462,0.0001616274,0.04491373,0.00004413725,0.0001373582,0.0001054084,0.00009343561,0.8953019,0.05225152,0.004679899,0.002256687,0.0000419273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6850377,0.001983147,0.3044263,0.0003052145,0.00004336767,0.0001129955,0.004721299,0.001534377,0.001835612],"genre_scores_gemma":[0.8631097,0.00116218,0.1299567,0.00009943135,0.00002105687,0.0001876269,0.004478063,0.0001047385,0.0008804507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006550508,"threshold_uncertainty_score":0.01302481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157260032545426,"score_gpt":0.3203804982081629,"score_spread":0.2988078978827087,"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."}}