{"id":"W2057864323","doi":"10.1016/j.chroma.2013.06.067","title":"Development of chip-based photocatalyst-assisted reduction device to couple high performance liquid chromatography and inductively coupled plasma-mass spectrometry for determination of inorganic selenium species","year":2013,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Ministry of Science and Technology, Taiwan; National Science Council","keywords":"Chemistry; Inductively coupled plasma mass spectrometry; Chromatography; Mass spectrometry; Selenium; High-performance liquid chromatography; Inductively coupled plasma; Plasma; Analytical Chemistry (journal); Organic chemistry","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":[0.0003206802,0.0005360217,0.0005485171,0.0003091301,0.0002078286,0.0004227426,0.001741827,0.0008436639,0.0009302399],"category_scores_gemma":[0.0002969687,0.0004036062,0.0004546476,0.0001951623,0.0002063522,0.0004163002,0.0003877437,0.0005221497,0.0006765382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005233687,"about_ca_system_score_gemma":0.0005203427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006940653,"about_ca_topic_score_gemma":0.002024649,"domain_scores_codex":[0.9996974,0.00002237053,0.00001112287,0.00009341817,0.0001405028,0.00003521014],"domain_scores_gemma":[0.9997879,0.00005061944,0.00002535692,0.00003513154,0.00008355045,0.00001743552],"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":[0.00002170939,0.00004049645,0.0003240775,0.00006650953,0.00002644219,0.00004889139,0.00001531145,0.0001991768,0.9910839,0.0003039025,0.0005875718,0.007281976],"study_design_scores_gemma":[0.000009945537,0.0001222804,0.001200308,0.000002560332,0.00002007545,0.0001691036,0.000008920846,0.008603765,0.9864591,0.00004698323,0.003340167,0.00001665715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5486246,0.00288881,0.4305317,0.0008857776,0.0008287922,0.0004399683,0.001808868,0.006458942,0.007532539],"genre_scores_gemma":[0.7013751,0.0008598131,0.2832277,0.0004797024,0.00009748907,0.0004492172,0.00131278,0.0001494495,0.0120487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741827,"threshold_uncertainty_score":0.003797352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825479885618389,"score_gpt":0.2502520626216077,"score_spread":0.2319972637654238,"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."}}