{"id":"W2046212177","doi":"10.1021/ac010330h","title":"Microwave Digestion of Environmental and Natural Waters for Selenium Speciation","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Chinese Academy of Sciences","keywords":"Chemistry; Selenium; Microwave digestion; Hydrochloric acid; Reagent; Digestion (alchemy); Selenate; Detection limit; Genetic algorithm; Chromatography; Sample preparation; Environmental chemistry; Inorganic chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008445552,0.00009617915,0.0001544799,0.00001009202,0.00003480197,0.00001193879,0.00005945911,0.0001275351,0.00005957206],"category_scores_gemma":[0.00006667115,0.00007904066,0.00006293112,0.0000366791,0.00009703045,0.00003899776,0.00001928663,0.00008682517,0.000005452162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008314815,"about_ca_system_score_gemma":0.000001981856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004894862,"about_ca_topic_score_gemma":3.811549e-7,"domain_scores_codex":[0.9993021,0.00001203075,0.0002061488,0.0002050675,0.0001003914,0.0001742954],"domain_scores_gemma":[0.9996592,0.0001117508,0.00006598596,0.00009214323,0.00001408418,0.00005682734],"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":[0.00017274,0.00004199044,0.0455011,0.00004384086,0.00001528622,4.32438e-7,0.00002636547,0.000001091398,0.953081,0.00001150026,0.0001786615,0.0009260156],"study_design_scores_gemma":[0.0005966878,0.0000687659,0.06921373,0.00002193725,0.00006790306,0.00005519311,0.0001211822,0.001774177,0.9250633,0.000277084,0.002555844,0.000184199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986667,0.00009549667,0.00007500188,0.0002971565,0.00009302652,0.0001062804,0.0000125847,0.00001913787,0.0006345917],"genre_scores_gemma":[0.9990937,0.000008737041,0.0001664036,0.000045449,0.0002341613,0.00000440218,0.00006999623,0.000007687356,0.0003695054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02801768,"threshold_uncertainty_score":0.3223185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018897539655906,"score_gpt":0.2320582752795027,"score_spread":0.2218692998829437,"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."}}