{"id":"W2792909702","doi":"10.1093/toxsci/kfy047","title":"Representing the Process of Inflammation as Key Events in Adverse Outcome Pathways","year":2018,"lang":"en","type":"review","venue":"Toxicological Sciences","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Adverse Outcome Pathway; Inflammation; Context (archaeology); Process (computing); Outcome (game theory); Key (lock); Representation (politics); Computer science; Neuroscience; Bioinformatics; Biology; Computational biology; Immunology; Computer security; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00162277,0.001053765,0.001213478,0.002282181,0.0003281641,0.001659232,0.001721876,0.001297707,0.002630278],"category_scores_gemma":[0.002810768,0.0003205738,0.0009636589,0.002307452,0.0008339969,0.001993872,0.0007882531,0.002223889,0.001358135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121914,"about_ca_system_score_gemma":0.002277112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972207,"about_ca_topic_score_gemma":0.002605153,"domain_scores_codex":[0.9995807,0.0001491878,0.00004473215,0.00007488226,0.0001229612,0.00002755784],"domain_scores_gemma":[0.9988294,0.0007327169,0.0001170638,0.0000614439,0.000213188,0.00004618026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008284042,0.00009479449,0.0009708029,0.02859201,0.0003940623,0.0001857543,0.0002221405,0.006700457,0.002066539,0.1061169,0.02600749,0.8285664],"study_design_scores_gemma":[0.00002877261,0.0001594032,0.001914723,0.01080573,0.0004716692,0.001221987,0.0001875829,0.004516007,0.002066379,0.05553584,0.9230121,0.00007976659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00102721,0.9771382,0.01167337,0.002369277,0.0006307628,0.00007163663,0.0001336043,0.00007715443,0.006878845],"genre_scores_gemma":[0.008732713,0.9793574,0.008999449,0.0006936928,0.0003253887,0.00007372046,0.0001889005,0.00001562973,0.001613155],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002630278,"threshold_uncertainty_score":0.008845508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1885098199933982,"score_gpt":0.4505590326864424,"score_spread":0.2620492126930442,"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."}}