{"id":"W3148207586","doi":"10.14573/altex.2101211","title":"Applying evidence-based methods to the development and use of adverse outcome pathways","year":2021,"lang":"en","type":"editorial","venue":"ALTEX","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; European Food Safety Authority; McMaster University","keywords":"Adverse Outcome Pathway; Systematic review; Outcome (game theory); Grading (engineering); Adverse effect; Mechanism (biology); Risk analysis (engineering); Management science; Medicine; MEDLINE; Engineering; Political science; Pharmacology; Biology; Computational biology","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":[0.1181897,0.002681148,0.003278544,0.01092748,0.002092713,0.01056098,0.004679972,0.01371589,0.005976598],"category_scores_gemma":[0.2672006,0.001262104,0.004433279,0.004347173,0.007363382,0.008774185,0.003555985,0.01945958,0.002620707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007250582,"about_ca_system_score_gemma":0.01130126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428595,"about_ca_topic_score_gemma":0.004821409,"domain_scores_codex":[0.9123002,0.056511,0.01085033,0.002624184,0.0171155,0.0005987327],"domain_scores_gemma":[0.5618659,0.3721316,0.009501617,0.00610134,0.04771573,0.002683875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001652455,0.00003543528,0.0001177815,0.01317481,0.000370313,0.0002918146,0.0006130369,0.0007668718,0.0001929165,0.03718702,0.8489822,0.09810259],"study_design_scores_gemma":[0.00008713164,0.00005266312,0.000182962,0.01112263,0.000206128,0.0001345829,0.0001684138,0.0007032948,0.000186061,0.03520343,0.9518988,0.00005397032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001610952,0.1385299,0.01519567,0.1839721,0.6528641,0.0007613549,0.0004018848,0.0002164508,0.007897485],"genre_scores_gemma":[0.007405333,0.1675216,0.03572426,0.1246056,0.6419622,0.001831412,0.0004078028,0.0002933775,0.02024839],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1181897,"threshold_uncertainty_score":0.6250544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4531311535385151,"score_gpt":0.4776531232902707,"score_spread":0.02452196975175563,"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."}}