{"id":"W2077947772","doi":"10.1016/j.talanta.2012.08.010","title":"Fast ultrahigh performance liquid chromatographic method for the simultaneous determination of 25 emerging contaminants in surface water and wastewater samples using superficially porous sub-3 μm particles as an alternative to fully porous sub-2μm particles","year":2012,"lang":"en","type":"article","venue":"Talanta","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Analyte; Detection limit; Elution; Solvent; Solid phase extraction; Extraction (chemistry); Contamination; Wastewater; Sample preparation; Resolution (logic)","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":[0.001009999,0.0003105409,0.0004211907,0.00006306447,0.0001783441,0.00005003877,0.0002691866,0.0001228967,0.00003896474],"category_scores_gemma":[0.0002658617,0.0002205713,0.00005835179,0.0001440944,0.0001402844,0.0002793003,0.0001304364,0.000146289,0.000003293475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008981217,"about_ca_system_score_gemma":0.00004140594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002813767,"about_ca_topic_score_gemma":0.0001471594,"domain_scores_codex":[0.9978188,0.000110209,0.0006096396,0.0004040001,0.0003168727,0.0007404661],"domain_scores_gemma":[0.9983485,0.0008610752,0.0001479686,0.0003091171,0.0001369659,0.0001963261],"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":[0.0004332214,0.0001323403,0.0193033,0.0002128718,0.00005425886,0.00001551382,0.006344337,0.0006715098,0.9663644,0.0000138887,3.772529e-7,0.006454028],"study_design_scores_gemma":[0.0005335976,0.0001233237,0.001380646,0.00011739,0.00009946423,0.000114291,0.002096446,0.03771684,0.957406,0.00006068202,0.00002286613,0.0003284068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943182,0.0001061581,0.005063242,0.0000791429,0.00005290193,0.0002856285,0.00003864638,0.00003636196,0.0000197523],"genre_scores_gemma":[0.9813675,0.00005682633,0.01832515,0.00003588321,0.00008578404,0.00002799129,0.00002721223,0.0000456243,0.00002809015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03704533,"threshold_uncertainty_score":0.8994637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03135508651356714,"score_gpt":0.3070474351121543,"score_spread":0.2756923485985872,"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."}}