{"id":"W1979581496","doi":"10.1016/j.talanta.2014.01.027","title":"Determination of methylmercury in marine biota samples: Method validation","year":2014,"lang":"en","type":"article","venue":"Talanta","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; International Atomic Energy Agency","keywords":"Chemistry; Detection limit; Chromatography; Certified reference materials; Extraction (chemistry); Calibration curve; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005391141,0.00006884928,0.0001285185,0.00005178893,0.00002611812,0.000005736137,0.00008078505,0.00003131539,0.0009864771],"category_scores_gemma":[0.0001432501,0.00006074037,0.00002433031,0.0001797653,0.00005017807,0.0001231631,0.00009676679,0.00004007787,0.00007957602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003439013,"about_ca_system_score_gemma":0.000002653706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005782873,"about_ca_topic_score_gemma":0.0001582825,"domain_scores_codex":[0.9993107,0.0001091623,0.0001906203,0.0001287699,0.0001522339,0.0001085686],"domain_scores_gemma":[0.9996052,0.0001410134,0.00008791576,0.0001306659,0.00000592917,0.00002925484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001578974,0.00006736729,0.453067,0.00002657566,0.000006207629,7.418359e-7,0.002577245,0.00004718243,0.2310294,0.000379012,0.0004137516,0.3123697],"study_design_scores_gemma":[0.0004869744,0.00008154103,0.7366623,0.00001995286,0.00002151876,0.0000065344,0.0002789215,0.001937133,0.2516194,0.003751358,0.004945567,0.0001888471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766249,0.000004755861,0.007508754,0.00009181674,0.00005410324,0.00009763039,0.000004904143,0.00001314496,0.01559996],"genre_scores_gemma":[0.9889009,0.00001980571,0.01072591,0.00006149359,0.00001547611,0.000006884554,0.00002027429,0.000005362923,0.0002438779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3121808,"threshold_uncertainty_score":0.9999267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831754882534542,"score_gpt":0.3083958093525763,"score_spread":0.2800782605272309,"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."}}