{"id":"W1848666297","doi":"10.1016/j.jnutbio.2015.07.003","title":"High-selenium lentil diet protects against arsenic-induced atherosclerosis in a mouse model","year":2015,"lang":"en","type":"article","venue":"The Journal of Nutritional Biochemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Selenium; Arsenic; Chemistry; Food science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000452769,0.001285771,0.0007170454,0.001509262,0.0005818215,0.0007060503,0.0006545144,0.001153464,0.00210915],"category_scores_gemma":[0.0001958804,0.000591815,0.0006996438,0.000471197,0.0006466786,0.0006631694,0.0003731611,0.001897928,0.0005051334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005193786,"about_ca_system_score_gemma":0.0006335428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001790795,"about_ca_topic_score_gemma":0.00280035,"domain_scores_codex":[0.9996824,0.00004840329,0.00003613131,0.00007756297,0.00008067926,0.00007480908],"domain_scores_gemma":[0.9995516,0.00001861172,0.0001342364,0.00006148962,0.00005835404,0.0001755986],"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":[0.00520075,0.001926949,0.001066886,0.0001127074,0.00008364734,0.000230537,0.00006972879,0.0001091258,0.9878444,0.0003626983,0.000314475,0.002678082],"study_design_scores_gemma":[0.0005414452,0.005466789,0.008688718,0.0000558913,0.0004558116,0.0005591276,0.0001845834,0.002473798,0.9768361,0.0005654762,0.004123146,0.00004921123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917105,0.001297634,0.003897281,0.000466225,0.0001933341,0.00006532265,0.0006766022,0.0004017561,0.001291368],"genre_scores_gemma":[0.9834971,0.001845977,0.002813894,0.0002385158,0.00006427149,0.0001431627,0.0008041991,0.00008509638,0.01050786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00210915,"threshold_uncertainty_score":0.007055759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02605869658907087,"score_gpt":0.2292605593022095,"score_spread":0.2032018627131386,"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."}}