{"id":"W3045410847","doi":"10.2166/wh.2020.185","title":"Inorganic contaminants in Canadian First Nation community water systems","year":2020,"lang":"en","type":"article","venue":"Journal of Water and Health","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Sampling (signal processing); Environmental science; Contamination; Water quality; Arsenic contamination of groundwater; Arsenic; Environmental health; Environmental chemistry; Environmental engineering; Engineering; Chemistry; Telecommunications; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009737024,0.0004217282,0.0004515141,0.003538331,0.004368185,0.001936911,0.001141061,0.0005188722,0.001051029],"category_scores_gemma":[0.003133848,0.0003144365,0.0004468918,0.008277976,0.0009061737,0.0006512639,0.001154686,0.000425983,0.0001378862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04607824,"about_ca_system_score_gemma":0.03752469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948854,"about_ca_topic_score_gemma":0.9970871,"domain_scores_codex":[0.9978064,0.0001121472,0.0001019367,0.0003326807,0.001174834,0.0004720649],"domain_scores_gemma":[0.9952583,0.0001614148,0.0006912329,0.0001070016,0.003409949,0.0003721383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000193545,0.000106551,0.9587628,0.0003715208,0.0001069822,0.0003726583,0.004546565,0.001650446,0.005178909,0.0004296196,0.002417823,0.02586248],"study_design_scores_gemma":[0.000005484168,0.00009189164,0.9877434,0.00004204836,0.00004733972,0.00008770453,0.003310861,0.001032171,0.001242394,0.00006179813,0.006293549,0.00004141028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910121,0.0009830864,0.0002469159,0.000243657,0.000007059229,0.00008485001,0.003577112,0.00002764388,0.003817585],"genre_scores_gemma":[0.9937664,0.000903706,0.0007828099,0.0001169056,0.000003725683,0.00003768635,0.002654867,0.00000900838,0.001725013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04607824,"threshold_uncertainty_score":0.3343226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813828955533681,"score_gpt":0.2589953288112968,"score_spread":0.20085703925596,"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."}}