{"id":"W2947332782","doi":"10.1002/etc.4385","title":"Adverse Outcome Pathways: Moving from a Scientific Concept to an Internationally Accepted Framework","year":2019,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Joint Research Centre; Canada Research Chairs; European Commission; Humane Society International; U.S. Army Corps of Engineers; Society of Environmental Toxicology and Chemistry; European Chemical Industry Council; Office of Research and Development; U.S. Environmental Protection Agency","keywords":"Adverse Outcome Pathway; Authorization; European union; Risk analysis (engineering); Population; Computer science; Business; Medicine; Biology; Computer security; Environmental health; Computational biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007908654,0.0001533565,0.000153931,0.00001819379,0.0001231626,0.00003460083,0.0002321397,0.0001378265,0.00801935],"category_scores_gemma":[0.00004879938,0.0001576633,0.00003955356,0.00003145208,0.0002046125,0.0001328178,0.0002480435,0.0002369912,0.0003498773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100069,"about_ca_system_score_gemma":0.00001174727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006925041,"about_ca_topic_score_gemma":5.299844e-7,"domain_scores_codex":[0.9989479,0.00003110664,0.0001886929,0.0005009005,0.0001361565,0.0001952676],"domain_scores_gemma":[0.9994341,0.0001239086,0.00007862775,0.0002255002,0.000003587641,0.0001342953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001147809,0.0001214786,0.1287241,0.000006537127,0.00002744928,0.00004475357,0.00106849,0.00002454276,0.8684936,0.00003589503,0.00002658732,0.001311748],"study_design_scores_gemma":[0.001491383,0.001183663,0.8318582,0.0001355225,0.00004071302,0.0001152432,0.007181372,0.001536952,0.150295,0.002094364,0.00313232,0.0009352507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973284,0.00006201435,0.00009512174,0.0000405773,0.0002131651,0.0001029572,0.0001370887,0.00005873075,0.001961965],"genre_scores_gemma":[0.9958972,0.000001830369,0.001802661,0.0003564231,0.0001296742,0.00001281981,0.0001044371,0.00001651861,0.001678381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7181986,"threshold_uncertainty_score":0.9928874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06406199960035136,"score_gpt":0.3322493863823798,"score_spread":0.2681873867820285,"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."}}