{"id":"W2793215279","doi":"10.1002/etc.4124","title":"Adverse outcome pathway networks II: Network analytics","year":2018,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Joint Research Centre; European Commission; Humane Society International; European Crop Protection Association; Society of Environmental Toxicology and Chemistry; European Chemical Industry Council; U.S. Environmental Protection Agency","keywords":"Adverse Outcome Pathway; Computer science; Directed acyclic graph; Outcome (game theory); Data science; Risk analysis (engineering); Computational biology; Business; Biology","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":[0.000237196,0.0001569296,0.0001619105,0.00001173654,0.0003027859,0.00001840301,0.0003595,0.000153125,0.0003121309],"category_scores_gemma":[0.00001509517,0.000161459,0.00005501535,0.00009644628,0.000360656,0.0001429511,0.0007357284,0.0001953914,0.00002627819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007315514,"about_ca_system_score_gemma":0.0000193322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.922661e-7,"about_ca_topic_score_gemma":7.12729e-7,"domain_scores_codex":[0.9988911,0.00005464242,0.0002211496,0.0003994328,0.000126195,0.0003075329],"domain_scores_gemma":[0.9993554,0.0001212577,0.00008619379,0.000311608,0.000004001317,0.0001214954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002439036,0.001995434,0.3563773,0.0001021072,0.0006258906,0.0004296399,0.00148586,0.3855193,0.07648717,0.02413523,0.01122456,0.1413736],"study_design_scores_gemma":[0.001514573,0.0004524507,0.1628003,0.00002338521,0.00005177099,0.0003118852,0.0001046536,0.7596809,0.02451938,0.01162861,0.03781655,0.001095628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8227859,0.0003093846,0.1724365,0.0002657417,0.0003931374,0.00007926815,0.000005393418,0.00006713832,0.003657587],"genre_scores_gemma":[0.9851335,0.00002219814,0.01263327,0.0006331791,0.0004369401,0.000007058994,0.00001095634,0.000008276908,0.001114594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3741616,"threshold_uncertainty_score":0.6584105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01282487536400891,"score_gpt":0.25041774062255,"score_spread":0.2375928652585411,"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."}}