{"id":"W2011029784","doi":"10.1016/s0039-9140(02)00261-8","title":"Determination of arsenite, arsenate, and monomethylarsonic acid in seawater by ion-exclusion chromatography combined with inductively coupled plasma mass spectrometry using reaction cell and hydride generation techniques","year":2002,"lang":"en","type":"article","venue":"Talanta","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Chemistry; Arsenate; Inductively coupled plasma mass spectrometry; Arsenite; Arsenic; Polyatomic ion; Detection limit; Mass spectrometry; Nitric acid; Ion chromatography; Chromatography; Analytical Chemistry (journal); Inorganic chemistry; Ion","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004590665,0.0007237424,0.0004587003,0.0007440896,0.0005232542,0.0003981318,0.0004538567,0.0004831676,0.00037216],"category_scores_gemma":[0.0005167727,0.0003192057,0.0002818273,0.0003898425,0.0003431994,0.0003832153,0.0003530843,0.0004300591,0.0003055784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003050373,"about_ca_system_score_gemma":0.0005316751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00233911,"about_ca_topic_score_gemma":0.004353229,"domain_scores_codex":[0.9995332,0.0000706777,0.00004395243,0.0001010521,0.0002130211,0.00003804655],"domain_scores_gemma":[0.9997645,0.00004500235,0.00003141413,0.00002269058,0.0001058703,0.00003050377],"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":[0.0001018651,0.00001240466,0.001791042,0.00002160961,0.00001822197,0.00002879612,0.00004388817,0.00007781823,0.9937456,0.00007663698,0.000045856,0.004036283],"study_design_scores_gemma":[0.00001454063,0.0001554527,0.004281338,0.000003845652,0.00002581097,0.0001983984,0.0000365203,0.001527327,0.9913777,0.0001593374,0.002207882,0.00001188853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383055,0.002472576,0.05331481,0.0002177377,0.00007693699,0.0000676415,0.0006364502,0.0007218589,0.004186554],"genre_scores_gemma":[0.936492,0.001820941,0.05387267,0.0002015661,0.0000432753,0.0001122411,0.001155011,0.00009633063,0.006205993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00233911,"threshold_uncertainty_score":0.00465101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100368062811643,"score_gpt":0.2011536071860318,"score_spread":0.1911168009048675,"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."}}