{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05914476,0.002808809,0.001276213,0.00828517,0.004661597,0.01844439,0.008384841,0.007528498,0.004589557],"category_scores_gemma":[0.04862045,0.001701563,0.002911618,0.004367484,0.02248342,0.02036335,0.01341003,0.008246578,0.002712294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008801645,"about_ca_system_score_gemma":0.0247956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005873229,"about_ca_topic_score_gemma":0.004343462,"domain_scores_codex":[0.9737833,0.01253534,0.003057817,0.002374485,0.007413445,0.0008356406],"domain_scores_gemma":[0.9484946,0.02861447,0.004789853,0.005347099,0.01100434,0.001749559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003092308,0.00008552218,0.0009546737,0.00120502,0.0000349464,0.0003537303,0.002198247,0.00447473,0.0006687139,0.9282833,0.007313907,0.05439613],"study_design_scores_gemma":[0.00003700752,0.0001343844,0.0003758924,0.001471566,0.00005332083,0.0004643121,0.002015044,0.006179527,0.002974748,0.7866674,0.1995414,0.0000854641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00288814,0.003246621,0.9179131,0.03173227,0.0003947802,0.002188862,0.0003884035,0.001000274,0.04024748],"genre_scores_gemma":[0.05421847,0.00571638,0.9243045,0.004239883,0.0003394588,0.00313831,0.0004325974,0.000268194,0.007342183],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05914476,"threshold_uncertainty_score":0.312791,"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."}}