{"id":"W2077015863","doi":"10.1016/j.chroma.2009.08.047","title":"Capabilities of mixed-mode liquid chromatography coupled to inductively coupled plasma mass spectrometry for the simultaneous speciation analysis of inorganic and organically-bound selenium","year":2009,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Chemistry; Selenate; Selenium; Chromatography; Inductively coupled plasma mass spectrometry; Arsenate; Detection limit; High-performance liquid chromatography; Selenocysteine; Mass spectrometry; Extraction (chemistry); Arsenobetaine; Sample preparation; Arsenic","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001177759,0.0003893292,0.001567639,0.001735752,0.0001788989,0.00007739841,0.0006012784,0.000314226,0.00005409784],"category_scores_gemma":[0.001107287,0.0002709965,0.0009667672,0.004731382,0.0003507498,0.0002028998,0.00003527343,0.0003497661,8.18264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001288483,"about_ca_system_score_gemma":0.00006877223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008732962,"about_ca_topic_score_gemma":0.00007455577,"domain_scores_codex":[0.9962358,0.0002393247,0.001861234,0.0003869158,0.0008080378,0.0004687198],"domain_scores_gemma":[0.9934226,0.002914796,0.001941982,0.0004281819,0.001072536,0.0002199163],"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":[0.002759932,0.0003871729,0.015957,0.000127968,0.002766825,0.000002939821,0.001236503,0.0009907357,0.9753209,0.0002178179,0.0001270456,0.0001051292],"study_design_scores_gemma":[0.0054539,0.01621777,0.4157958,0.0004474797,0.008304792,0.0003103935,0.005082217,0.01801774,0.5266201,0.002263533,0.0003056642,0.001180553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937129,0.001013024,0.00322815,0.0006547675,0.0004717345,0.0007874422,0.00007557464,0.00003783177,0.0000185658],"genre_scores_gemma":[0.9957405,0.000112679,0.003703495,0.00009908808,0.0002940014,0.000008380877,0.000008116889,0.00003170067,0.000001982215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4487008,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101518748831909,"score_gpt":0.2567304645781671,"score_spread":0.2465785896949761,"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."}}