{"id":"W4376142477","doi":"10.1093/annweh/wxac087.100","title":"162 Keynote: Adverse Outcome Pathways – a Framework for Designing Novel Approach Methods for Safety Assessment","year":2023,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Adverse Outcome Pathway; Risk analysis (engineering); Relevance (law); Lagging; Risk assessment; Resource (disambiguation); Hazard; Computer science; Business; Medicine; Computer security; Biology; Computational biology; Political science","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":[0.00380694,0.0002065838,0.0005432837,0.0001113044,0.0003937585,0.00002535214,0.0001644775,0.0001065309,0.000005233405],"category_scores_gemma":[0.0004394763,0.000180234,0.0001917249,0.0002680291,0.0000560892,0.00007357042,0.0000873921,0.0001942556,0.000001270157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001997123,"about_ca_system_score_gemma":0.00009934788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004363258,"about_ca_topic_score_gemma":8.659757e-7,"domain_scores_codex":[0.9981086,0.0001463697,0.000657249,0.0004043499,0.0001459924,0.0005374778],"domain_scores_gemma":[0.9972484,0.001828834,0.0004143903,0.0002190244,0.0001256037,0.0001637482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00684533,0.001344862,0.1209089,0.00660197,0.0008051575,0.00001246588,0.01324841,0.00103807,0.00300031,0.3563274,0.01422749,0.4756396],"study_design_scores_gemma":[0.004916451,0.02137678,0.8003054,0.002443902,0.000112189,0.00003178757,0.01008793,0.02851289,0.0005080887,0.1041773,0.02594481,0.001582529],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03668127,0.0007441699,0.9585356,0.002367811,0.0001637809,0.0009527908,0.0001373398,0.0001555822,0.0002616292],"genre_scores_gemma":[0.3577791,0.0001973569,0.6409222,0.0006546614,0.0001590562,0.0001288808,0.0000350165,0.00003246808,0.0000911785],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6793965,"threshold_uncertainty_score":0.7349727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6992288616328513,"score_gpt":0.595592564288846,"score_spread":0.1036362973440053,"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."}}