{"id":"W2395427833","doi":"10.1186/s12940-016-0144-x","title":"Biological and behavioral factors modify urinary arsenic metabolic profiles in a U.S. population","year":2016,"lang":"en","type":"article","venue":"Environmental Health","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Arsenic; Urine; Chemistry; Physiology; Tap water; Body mass index; Environmental chemistry; Endocrinology; Medicine; Environmental science; Biochemistry; Environmental engineering","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":[0.0002597869,0.0002158728,0.0001557392,0.0003481419,0.0003039394,0.000352228,0.0001608472,0.0002836258,0.0008873719],"category_scores_gemma":[0.0007411932,0.0001624885,0.0002564948,0.0004708857,0.0001622528,0.0001994226,0.0002043668,0.0002798132,0.000127503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002098325,"about_ca_system_score_gemma":0.0002759116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02487382,"about_ca_topic_score_gemma":0.03337847,"domain_scores_codex":[0.9998748,0.00004451989,0.000008549294,0.0000359285,0.00001739083,0.0000186928],"domain_scores_gemma":[0.9997424,0.00004470685,0.00009620885,0.00002303081,0.00004679713,0.00004680142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003825767,0.00003124978,0.9984486,0.000002797364,0.00002955915,0.00002737416,0.00007234409,0.00003413625,0.0003273006,0.000009416727,0.00007110347,0.0009078392],"study_design_scores_gemma":[0.000001750374,0.00005770518,0.9993792,0.000002191375,0.0000181636,0.00006543095,0.0001526125,0.0001537461,0.00003805795,0.00001966723,0.0001096701,0.000001700022],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993842,0.00008719733,0.00006121971,0.00003264864,0.000002459093,0.000003393855,0.0001955203,0.000003668209,0.0002296514],"genre_scores_gemma":[0.9995077,0.00006037988,0.00006949993,0.00002575463,0.000002662099,0.000003793816,0.0001973745,0.000001374351,0.000131554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02487382,"threshold_uncertainty_score":0.04945809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905495020529749,"score_gpt":0.2824120867189099,"score_spread":0.2533571365136125,"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."}}