{"id":"W2015833896","doi":"10.1021/es991203u","title":"Speciation of Submicrogram per Liter Levels of Arsenic in Water:  On-Site Species Separation Integrated with Sample Collection","year":2000,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"American Water Works Association Research Foundation; Water Research Foundation","keywords":"Arsenic; Arsenate; Arsenite; Chemistry; Genetic algorithm; Environmental chemistry; Detection limit; Certified reference materials; Cartridge; Chromatography; Ecology; Biology; Materials science","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":[0.0008083393,0.0007344791,0.0006261175,0.0008796314,0.0005122911,0.0006506478,0.001073624,0.001117026,0.001277294],"category_scores_gemma":[0.0008357096,0.0005127344,0.0003691496,0.0005982419,0.0004760503,0.0006345314,0.000863549,0.0007952933,0.0009771163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653082,"about_ca_system_score_gemma":0.001103222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002198351,"about_ca_topic_score_gemma":0.006227944,"domain_scores_codex":[0.998096,0.0003491666,0.00006047168,0.0003228583,0.001085109,0.00008634851],"domain_scores_gemma":[0.9994979,0.000118696,0.00009184598,0.00007069004,0.0001884937,0.00003233236],"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":[0.00004227131,0.0000524607,0.001072858,0.00008749085,0.00001203861,0.00002769839,0.00003913038,0.0001000358,0.9827355,0.00009619076,0.0001870802,0.01554709],"study_design_scores_gemma":[0.00001865452,0.0004274753,0.005729173,0.00001300188,0.00003204023,0.0003305919,0.000066988,0.002559071,0.983683,0.0002768546,0.006831477,0.00003166982],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5122012,0.00351718,0.4691985,0.0006658302,0.0002765481,0.00190362,0.001923503,0.002452216,0.00786145],"genre_scores_gemma":[0.4978385,0.003093246,0.4838696,0.0006928183,0.0001612878,0.0009605073,0.001866873,0.0003256345,0.01119147],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002198351,"threshold_uncertainty_score":0.004371107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005514284529760546,"score_gpt":0.209538432696657,"score_spread":0.2040241481668964,"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."}}