{"id":"W2888160122","doi":"10.1093/toxsci/kfy201","title":"Using the Apolipoprotein E Knock-Out Mouse Model to Define Atherosclerotic Plaque Changes Induced by Low Dose Arsenic","year":2018,"lang":"en","type":"article","venue":"Toxicological Sciences","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Arsenic; Knockout mouse; Apolipoprotein E; Apolipoprotein B; Chemistry; Medicine; Pathology; Biochemistry; Cholesterol; Receptor","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000661843,0.000144832,0.0001236532,0.00002927756,0.0006829283,0.00007957849,0.000517671,0.0000977579,0.001037502],"category_scores_gemma":[0.0001566256,0.00008653437,0.00003440107,0.0003889722,0.0008585133,0.0001613346,0.0003040665,0.0001116206,0.0003703751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001624797,"about_ca_system_score_gemma":0.00002606074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002136121,"about_ca_topic_score_gemma":0.001795328,"domain_scores_codex":[0.9984508,0.0001047377,0.0001695062,0.0004254925,0.0004390366,0.0004104376],"domain_scores_gemma":[0.9994909,0.00006713151,0.00008600909,0.0001843228,0.00001305663,0.0001586073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008643972,0.000074862,0.000232231,7.880573e-7,0.000001636905,2.532754e-7,0.0009580936,0.001074165,0.9875065,0.0004734921,0.0005485847,0.009120747],"study_design_scores_gemma":[0.000868621,0.002377272,0.01181461,0.00004025276,0.00002783925,0.000007207358,0.001662208,0.402066,0.5727317,0.00418326,0.003266495,0.0009545521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884754,0.000005685376,0.0038507,0.003933007,0.00008332212,0.0005245869,0.000005250571,0.00005951572,0.00306255],"genre_scores_gemma":[0.9931997,0.000004312375,0.002373023,0.003123353,0.00005875304,0.00004731094,9.158884e-7,0.000005787152,0.001186809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4147748,"threshold_uncertainty_score":0.9998757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159764507427329,"score_gpt":0.3208142183677763,"score_spread":0.2048377676250434,"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."}}