{"id":"W2288445349","doi":"10.4236/jep.2016.73037","title":"Trace-Level Analysis of Hexavalent Chromium in Lake Sediment Samples Using Ion Chromatography Tandem Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"Journal of Environmental Protection","topic":"Chromium effects and bioremediation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ministry of Energy, Northern Development and Mines; Ministry of the Environment, Conservation and Parks","funders":"Duquesne University","keywords":"Isotope dilution; Hexavalent chromium; Chemistry; Sediment; Environmental chemistry; Certified reference materials; Chromium; Mass spectrometry; Extraction (chemistry); Chromatography; Detection limit; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002845369,0.0004712756,0.0003644222,0.00132925,0.0004836498,0.0005145138,0.0003206014,0.0003626129,0.0007121141],"category_scores_gemma":[0.0004248536,0.0001967283,0.0002069998,0.001128891,0.000256693,0.0001962644,0.000319157,0.000312614,0.0002853601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007890523,"about_ca_system_score_gemma":0.001025846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01446427,"about_ca_topic_score_gemma":0.03019839,"domain_scores_codex":[0.9994735,0.0000293401,0.00003661279,0.000133803,0.0002761759,0.00005063442],"domain_scores_gemma":[0.9997714,0.00001847973,0.00004039502,0.00001341646,0.0001383889,0.00001796338],"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":[0.00007426541,0.00002907665,0.005300009,0.00009204595,0.00002220483,0.00006201179,0.00008096939,0.0001707859,0.9873348,0.00005332481,0.00008771936,0.006692795],"study_design_scores_gemma":[0.00002202556,0.0002526484,0.06565483,0.00002716768,0.00006426172,0.0003965752,0.0001258203,0.003055867,0.9254202,0.0001366889,0.004814613,0.00002932815],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625975,0.001213998,0.02825739,0.00008148068,0.00002301492,0.0002467955,0.002762347,0.0006760898,0.004141331],"genre_scores_gemma":[0.9250665,0.002042093,0.06232265,0.0002055738,0.00001256383,0.0002263837,0.003232012,0.0001147047,0.006777496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01446427,"threshold_uncertainty_score":0.02876014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208238301548926,"score_gpt":0.2228792879256452,"score_spread":0.2020554577707526,"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."}}