{"id":"W2578534267","doi":"10.1021/acs.analchem.6b04753","title":"Single-Drop Solution Electrode Discharge-Induced Cold Vapor Generation Coupling to Matrix Solid-Phase Dispersion: A Robust Approach for Sensitive Quantification of Total Mercury Distribution in Fish","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Natural Science Foundation of China","keywords":"Chemistry; Mercury (programming language); Analyte; Analytical Chemistry (journal); Detection limit; Certified reference materials; Dilution; Sample preparation; Chromatography; Matrix (chemical analysis); Drop (telecommunication)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004687524,0.0006445051,0.000360059,0.0004086732,0.0001849755,0.00028855,0.0005440089,0.0007569484,0.0002918557],"category_scores_gemma":[0.000435717,0.0003325662,0.0003601536,0.000290349,0.0004725019,0.0003366102,0.0004911618,0.000652959,0.0002448633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005853594,"about_ca_system_score_gemma":0.0003380329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009840993,"about_ca_topic_score_gemma":0.002118904,"domain_scores_codex":[0.9993407,0.00006658718,0.00002738971,0.000220681,0.0003077255,0.00003690497],"domain_scores_gemma":[0.9998022,0.00004645203,0.00005905502,0.00001980761,0.00005979258,0.00001278514],"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":[0.000004760272,0.000002935984,0.00006093496,0.00002613587,0.000003235872,0.00001169613,0.000007162204,0.00006034308,0.9982491,0.00002660087,0.00001525763,0.001531967],"study_design_scores_gemma":[0.00000206377,0.00004333449,0.0004607607,0.00000188297,0.000005153954,0.00004730236,0.000005901598,0.001230544,0.9975566,0.00002000425,0.0006200005,0.000006476132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7137172,0.005056579,0.2769606,0.0004207144,0.000144815,0.0002756478,0.0004926522,0.00089084,0.002040949],"genre_scores_gemma":[0.8401048,0.002645183,0.1537041,0.0001679649,0.00003840488,0.0001847907,0.000339968,0.00008430251,0.002730553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009840993,"threshold_uncertainty_score":0.004247129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05932411015917877,"score_gpt":0.3407415620679695,"score_spread":0.2814174519087907,"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."}}