{"id":"W2313757172","doi":"10.1093/toxsci/kfu199","title":"Adverse Outcome Pathway (AOP) Development I: Strategies and Principles","year":2014,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":711,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada","funders":"","keywords":"Adverse Outcome Pathway; Computer science; Modular design; Set (abstract data type); Outcome (game theory); Relevance (law); Conceptual framework; Process management; Risk analysis (engineering); Data science; Computational biology; Biology; Business","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":[0.001998805,0.0001316578,0.0001663967,0.00007200335,0.0003839028,0.0003808205,0.000861703,0.00005172869,0.00002940872],"category_scores_gemma":[0.0003344116,0.00007717244,0.00003172531,0.0003729863,0.0004010012,0.0008672718,0.0006097811,0.00009148171,0.00003449587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003250622,"about_ca_system_score_gemma":0.0002006201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005945095,"about_ca_topic_score_gemma":0.00001721795,"domain_scores_codex":[0.9982384,0.0002335093,0.0002796389,0.0005028406,0.0004327307,0.0003129142],"domain_scores_gemma":[0.998889,0.0007114073,0.0000876356,0.000150836,0.00003206042,0.0001290424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000001888889,0.00005521538,0.00503707,0.00000566124,0.000002799617,0.000004140265,0.0002758151,0.01016791,0.0003793841,0.9102053,0.000006947115,0.07385788],"study_design_scores_gemma":[0.000265105,0.0004234059,0.6837527,0.00001357001,0.000002261169,0.00002221568,0.0003129295,0.179802,0.001465725,0.1104404,0.02306482,0.0004349833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7013658,0.00003044423,0.2835713,0.001072185,0.0001830827,0.0001061604,3.136321e-7,0.0001383605,0.01353241],"genre_scores_gemma":[0.7643469,0.000001433163,0.2351481,0.0003796314,0.00002394116,0.00001103826,2.564447e-7,0.000001383436,0.00008734304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7997649,"threshold_uncertainty_score":0.3672261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184175387031278,"score_gpt":0.3430100823848082,"score_spread":0.2245925436816804,"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."}}