{"id":"W2143909597","doi":"10.1002/etc.374","title":"Reverse engineering adverse outcome pathways","year":2010,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Adverse Outcome Pathway; Flutamide; Adverse effect; Biology; Computational biology; Stressor; Biological pathway; Organism; Bioinformatics; Gene; Gene expression; Neuroscience; Pharmacology; Genetics; Prostate cancer; Androgen receptor","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":[0.00007791669,0.0001318025,0.00009623134,0.000006573543,0.00006265956,0.000005482734,0.00009895152,0.0002959376,0.0002738676],"category_scores_gemma":[0.00001163024,0.00013586,0.00004755808,0.00001122069,0.0001184737,0.000003325151,0.0001393629,0.0002381741,0.00001934383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008423875,"about_ca_system_score_gemma":0.0000084955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.367407e-7,"about_ca_topic_score_gemma":0.000001215017,"domain_scores_codex":[0.9994134,0.000003770223,0.0001560733,0.000193321,0.00004254825,0.0001908548],"domain_scores_gemma":[0.9996358,0.000006074216,0.00004622232,0.0002080859,0.000001520738,0.0001022524],"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":[0.0000128784,0.00003145929,0.006391164,0.00001368065,0.0000178012,0.000004161466,0.00001946017,0.00002480058,0.9922979,0.00002364801,0.0004684133,0.0006946345],"study_design_scores_gemma":[0.001423219,0.0001373294,0.02179248,0.000006525376,0.00004082311,0.0003365888,0.0002369771,0.0008134428,0.7643743,0.0001183206,0.2100322,0.0006877926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976175,0.0001092639,0.000107,0.00004331091,0.0001607038,0.00005736412,0.00002289003,0.000009792119,0.001872169],"genre_scores_gemma":[0.9974058,0.00007176487,0.0008539995,0.0003063266,0.0002075294,0.00001035715,0.00008869224,0.00001285156,0.001042693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2279236,"threshold_uncertainty_score":0.5540211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003771618729669012,"score_gpt":0.1777456506126516,"score_spread":0.1739740318829826,"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."}}