{"id":"W4388798994","doi":"10.1016/j.taap.2023.116763","title":"In vitro and in vivo approaches to assess atherosclerosis following exposure to low-dose mixtures of arsenic and cadmium","year":2023,"lang":"en","type":"article","venue":"Toxicology and Applied Pharmacology","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Arsenic; Cadmium; In vivo; In vitro; Chemistry; Environmental chemistry; Radiochemistry; Toxicology; Biology; Biochemistry; Biotechnology; Organic chemistry","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":[0.001319373,0.001662578,0.0008031237,0.001478849,0.0006382573,0.0008305942,0.0006136345,0.001263216,0.002277078],"category_scores_gemma":[0.0002913156,0.0006991266,0.0008195193,0.0006732522,0.0005500983,0.0004329429,0.0006819957,0.002293947,0.0009237503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003007087,"about_ca_system_score_gemma":0.0003911406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006823039,"about_ca_topic_score_gemma":0.001988782,"domain_scores_codex":[0.9985246,0.0004306323,0.0001631195,0.0002889781,0.0004122999,0.0001804052],"domain_scores_gemma":[0.9994147,0.0001272849,0.0001389853,0.00007211402,0.0001419428,0.0001050338],"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":[0.000137921,0.0001305802,0.0002263884,0.00008362193,0.0000163091,0.00003492583,0.0000329387,0.00005129453,0.9987357,0.00004639606,0.0000298203,0.0004740583],"study_design_scores_gemma":[0.00003264792,0.002537024,0.004862506,0.00002115327,0.0001457471,0.0002743857,0.0001182191,0.0009830066,0.9884681,0.0001459903,0.002388594,0.00002256937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.832532,0.019229,0.130236,0.0005691219,0.0008607362,0.001077079,0.002229239,0.0006843004,0.0125826],"genre_scores_gemma":[0.8207276,0.01998896,0.1259782,0.0008047914,0.0004152018,0.002867867,0.002747491,0.0001710708,0.02629873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002277078,"threshold_uncertainty_score":0.007617593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06660353583728135,"score_gpt":0.2919311159407835,"score_spread":0.2253275801035022,"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."}}