{"id":"W2032753881","doi":"10.1016/j.chroma.2014.07.035","title":"Direct large volume injection ultra-high performance liquid chromatography-tandem mass spectrometry determination of artificial sweeteners sucralose and acesulfame in well water","year":2014,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Alberta Health","keywords":"Chemistry; Chromatography; Sucralose; Detection limit; Mass spectrometry; Tandem mass spectrometry; Electrospray; Liquid chromatography–mass spectrometry; Aqueous solution; Electrospray ionization; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002789854,0.0002417486,0.0005095607,0.001141528,0.00004542596,0.00002472491,0.000193438,0.0002128854,0.00001643224],"category_scores_gemma":[0.00004866863,0.0001952698,0.0001684068,0.0008005708,0.0001414858,0.0004409843,0.00001808669,0.0003591604,0.000001905077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000560715,"about_ca_system_score_gemma":0.000003538968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004683074,"about_ca_topic_score_gemma":0.000007287294,"domain_scores_codex":[0.9983951,0.00003786655,0.0007074553,0.0001711153,0.0002921656,0.0003963257],"domain_scores_gemma":[0.9993626,0.00006142827,0.0002409849,0.0001782386,0.00008266339,0.00007410112],"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":[0.00007681434,0.00005567181,0.01638388,0.0001624579,0.00004654752,0.000008732319,0.0001311968,0.001567309,0.9802262,0.00002393978,0.00002016018,0.001297067],"study_design_scores_gemma":[0.0006484976,0.0006224089,0.01548879,0.0001667351,0.00003118379,0.0000684465,0.0001098844,0.003826702,0.9778578,0.0007403366,0.0001945157,0.0002446594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916965,0.0002493005,0.007265639,0.00002569343,0.0001954368,0.00009780886,0.000004382588,0.0001407321,0.0003244536],"genre_scores_gemma":[0.9961122,0.0005096077,0.003244507,0.000008152719,0.00008137643,0.000004333247,0.00000291963,0.00003420533,0.000002641679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004415703,"threshold_uncertainty_score":0.7962873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00388985395345113,"score_gpt":0.1933857375187743,"score_spread":0.1894958835653232,"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."}}