{"id":"W2017540274","doi":"10.1016/j.talanta.2008.05.053","title":"Mercury speciation in sea food by flow injection cold vapor atomic absorption spectrometry using selective solid phase extraction","year":2008,"lang":"en","type":"article","venue":"Talanta","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Junta de Andalucía; Ministerio de Ciencia y Tecnología","keywords":"Chemistry; Mercury (programming language); Atomic absorption spectroscopy; Detection limit; Cold vapour atomic fluorescence spectroscopy; Analytical Chemistry (journal); Chromatography; Certified reference materials; Solid phase extraction","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":[],"consensus_categories":[],"category_scores_codex":[0.0001839344,0.0001595187,0.0001828129,0.0001333175,0.0002265279,0.00001799034,0.00006001501,0.00008687977,0.000578153],"category_scores_gemma":[0.00004228663,0.000169058,0.00004707567,0.0005777837,0.00007421849,0.0005935585,0.00003270958,0.0001758157,0.0001904302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008794197,"about_ca_system_score_gemma":0.00002077393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004906423,"about_ca_topic_score_gemma":0.0003273224,"domain_scores_codex":[0.9987963,0.00006730666,0.0002705602,0.0002883637,0.0003011888,0.00027631],"domain_scores_gemma":[0.999592,0.00004193148,0.0001660541,0.0001147783,0.000013307,0.000071918],"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":[0.00009801309,0.000327865,0.06767356,0.000006420828,0.00002991695,0.000008424706,0.001413108,0.0007561973,0.921229,0.000007495617,0.007413744,0.001036254],"study_design_scores_gemma":[0.003644529,0.001064392,0.3423109,0.00005565087,0.00008538791,0.0005421062,0.0008547992,0.02545358,0.6228073,0.0003299391,0.001980228,0.0008711553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995875,0.00006732061,0.001463126,0.00003624766,0.0002233165,0.0002957487,0.0000476164,0.00005549873,0.001936127],"genre_scores_gemma":[0.9991767,0.000147208,0.0001914011,0.00005746175,0.0001201572,0.00001342777,0.00005419766,0.00001625176,0.0002232376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2984217,"threshold_uncertainty_score":0.6893983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478878523274097,"score_gpt":0.3003141827521985,"score_spread":0.2755253975194575,"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."}}