{"id":"W4243153382","doi":"10.1021/ac0264123","title":"Response to ‘Comments on “Species-Specific Isotope Dilution-Based Calibration for Trace Element Speciation and Its Combined Uncertainty Evaluation:  Determination of Tributyltin in Sediment by HPLC−ICPMS”'","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Citation; Tributyltin; Information retrieval; Computer science; Isotope dilution; Calibration; TRACE (psycholinguistics); Altmetrics; Library science; Trace element; Sediment; Environmental chemistry; Chemistry; Geology; Statistics; Mathematics; Geochemistry; Chromatography; Mass spectrometry; Philosophy","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":[0.01011058,0.001436793,0.001446123,0.0009952916,0.005080451,0.003217883,0.002392644,0.03065285,0.02043713],"category_scores_gemma":[0.03697444,0.00137737,0.001698447,0.0008852527,0.00260444,0.00217655,0.002667804,0.02597693,0.01857029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006292141,"about_ca_system_score_gemma":0.007822303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02873548,"about_ca_topic_score_gemma":0.03876485,"domain_scores_codex":[0.9922929,0.001317579,0.0009382115,0.0009650463,0.003559571,0.0009267193],"domain_scores_gemma":[0.9720018,0.01120455,0.00274058,0.0007043026,0.01160001,0.001748736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004876871,0.00001386901,0.000162123,0.00005976014,0.000006868134,0.0001057175,0.00009752184,0.00003953647,0.0003043818,0.0002057075,0.997155,0.001800789],"study_design_scores_gemma":[0.0000997586,0.0001130458,0.004914411,0.0002145476,0.00004333917,0.0002672424,0.0006013419,0.000312366,0.001485626,0.0007258247,0.991117,0.0001054399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008445542,0.0006211276,0.0008558765,0.9054018,0.0858989,0.0001029444,0.0006730469,0.000657881,0.004943851],"genre_scores_gemma":[0.002555093,0.0002831809,0.0005038742,0.9582992,0.01029116,0.00009389316,0.0001771918,0.0001388219,0.02765757],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03065285,"threshold_uncertainty_score":0.06836897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04015206742627229,"score_gpt":0.3202196572455322,"score_spread":0.2800675898192599,"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."}}