{"id":"W2926401436","doi":"10.1016/j.envint.2018.11.077","title":"Determinants of selenoneine concentration in red blood cells of Inuit from Nunavik (Northern Québec, Canada)","year":2019,"lang":"en","type":"article","venue":"Environment International","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval; Hôpital du Saint-Sacrement","funders":"Aboriginal Affairs and Northern Development Canada; Canadian Institutes of Health Research; ArcticNet","keywords":"Beluga; Selenium; Population; Whole blood; Mercury (programming language); Epidemiology; Physiology; Animal science; Biology; Medicine; Chemistry; Environmental health; Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002582922,0.0003007021,0.0002519077,0.0006049636,0.001357617,0.0009223098,0.0007199606,0.0002988164,0.001662209],"category_scores_gemma":[0.0009736681,0.0001963846,0.0001966426,0.001437601,0.0004560696,0.0002077287,0.000347032,0.0003884173,0.0002251635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005588038,"about_ca_system_score_gemma":0.002533652,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.973764,"about_ca_topic_score_gemma":0.9775195,"domain_scores_codex":[0.9997137,0.00003035672,0.00001759273,0.0000806861,0.00008384732,0.00007366324],"domain_scores_gemma":[0.9993062,0.00005087676,0.0001152706,0.00002116765,0.000339876,0.0001665916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008049019,0.00003376213,0.9943168,0.00001783956,0.00003855573,0.0001252729,0.00109079,0.00005655814,0.001507345,0.00003745566,0.0004516023,0.002243525],"study_design_scores_gemma":[0.000002335785,0.00002168764,0.9983056,0.000008787957,0.0000134277,0.00006373744,0.0009010547,0.0001797114,0.0001089751,0.000008550949,0.0003817486,0.000004509163],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974979,0.0002476263,0.0001051484,0.00007766334,0.000005775329,0.0000209898,0.0009756677,0.000005727205,0.001063576],"genre_scores_gemma":[0.9982698,0.0001148233,0.0001285351,0.00003583233,0.000002221224,0.000009293823,0.0004363378,0.000003587328,0.000999558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.026236,"threshold_uncertainty_score":0.05278099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005947016754107319,"score_gpt":0.1964629688054919,"score_spread":0.1905159520513845,"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."}}