{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009663511,0.0000620397,0.0001277082,0.00002009778,0.00003575476,0.000007689723,0.0001041391,0.0001126237,0.004349443],"category_scores_gemma":[0.0001787315,0.00006563759,0.0001149764,0.0004118651,0.00009231292,0.00005667656,0.00005399036,0.0001533712,0.0001350174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332845,"about_ca_system_score_gemma":0.000005048111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002481668,"about_ca_topic_score_gemma":0.0003293431,"domain_scores_codex":[0.99898,0.00002072648,0.0004595557,0.0002367551,0.0001627992,0.000140127],"domain_scores_gemma":[0.9994987,0.0001197102,0.0001109162,0.0001815008,0.000005763041,0.00008342737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005291266,0.00009828294,0.9788326,0.000001896212,0.00001496897,0.00000651127,0.00004499869,0.00003329007,0.01109087,0.00003300138,0.0003915304,0.009446777],"study_design_scores_gemma":[0.0003021225,0.00000683292,0.9839508,0.000002650121,0.00003751029,5.266887e-7,0.0000666087,0.0003936133,0.01128165,0.0002239043,0.003642539,0.00009124165],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322205,0.000003557224,0.0006464646,0.0001169491,0.00002871993,0.00004062172,7.688773e-7,0.00002134563,0.06692112],"genre_scores_gemma":[0.9951828,0.000004035839,0.0001675172,0.00014306,0.0000894749,0.000001404691,0.00003473198,0.000003909936,0.004373142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06296227,"threshold_uncertainty_score":0.9965607,"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."}}