{"id":"W2168619121","doi":"10.1373/clinchem.2007.092189","title":"Arsenic Speciation Analysis in Human Saliva","year":2007,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Arsenic contamination and mitigation","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of British Columbia; Canadian Water Network; U.S. Environmental Protection Agency","keywords":"Arsenic; Saliva; Arsenate; Chemistry; Arsenite; Environmental chemistry; Inductively coupled plasma mass spectrometry; Chromatography; Mass spectrometry; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004785636,0.0004586188,0.0002808314,0.0006465655,0.0004231292,0.0005318553,0.0002313975,0.0004608167,0.001963147],"category_scores_gemma":[0.0005494056,0.0001458679,0.0003004399,0.0004396187,0.0002258516,0.0001892318,0.0003311757,0.0002384648,0.001094306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001880669,"about_ca_system_score_gemma":0.0004012461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008992284,"about_ca_topic_score_gemma":0.0006299438,"domain_scores_codex":[0.9996008,0.0001006534,0.00002917452,0.00008332182,0.0001506355,0.00003536301],"domain_scores_gemma":[0.999882,0.0000190746,0.00001421519,0.000005805851,0.00006932455,0.0000096081],"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":[0.0007882811,0.0001133733,0.03019662,0.0004970935,0.0001163655,0.0003082238,0.0004300208,0.0001842243,0.9128135,0.0001330865,0.0009986113,0.05342069],"study_design_scores_gemma":[0.00007811328,0.00174605,0.08158389,0.0001249827,0.0003455947,0.007016917,0.0008868139,0.001774646,0.8850232,0.0006585453,0.02069957,0.00006152374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674311,0.0109003,0.01353899,0.0003478197,0.0001358506,0.0002995197,0.001926482,0.0005370643,0.004882838],"genre_scores_gemma":[0.9694871,0.005284236,0.01773222,0.0004563943,0.00009144701,0.0002816009,0.00221963,0.00004883243,0.004398592],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001963147,"threshold_uncertainty_score":0.006567359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032832014884872,"score_gpt":0.3445733569531116,"score_spread":0.3242450368042629,"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."}}