{"id":"W2013083991","doi":"10.1007/s10337-011-2038-y","title":"High-Efficiency Liquid Chromatography Using Sub-2 μm Columns at Elevated Temperature for the Analysis of Sulfonamides in Wastewater","year":2011,"lang":"en","type":"article","venue":"Chromatographia","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Suez University","keywords":"Van Deemter equation; Chemistry; Chromatography; Elution; High-performance liquid chromatography; Analytical Chemistry (journal); Particle size; Two-dimensional chromatography; Cartridge; Solid phase extraction; Extraction (chemistry); Reversed-phase chromatography; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009309616,0.0006506029,0.0005317463,0.0004675481,0.0005324665,0.0006531529,0.0008416826,0.0005661708,0.0008423979],"category_scores_gemma":[0.0006821833,0.0003848053,0.0004653319,0.0003864222,0.0004346257,0.0005103844,0.0004176333,0.0007279436,0.0009293128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007250158,"about_ca_system_score_gemma":0.001229058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003380988,"about_ca_topic_score_gemma":0.007367733,"domain_scores_codex":[0.9994443,0.0001658212,0.0000338268,0.00007048827,0.0002218286,0.00006370679],"domain_scores_gemma":[0.99968,0.0001285348,0.00003414844,0.00002845085,0.00008296233,0.00004588869],"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":[0.00007021299,0.00002004793,0.0002062913,0.00003253315,0.00001047159,0.00002302315,0.00002379016,0.00009588077,0.9970138,0.00005585352,0.00006304719,0.002385077],"study_design_scores_gemma":[0.00001185675,0.0001276436,0.002041471,0.000006347535,0.00002540288,0.0001583434,0.00002595671,0.002057667,0.9942446,0.00003783633,0.001250249,0.00001263945],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.850563,0.006018465,0.1364186,0.0007349571,0.0001513328,0.0001882984,0.0006389378,0.001056676,0.004229588],"genre_scores_gemma":[0.9052573,0.004927565,0.07863929,0.0004311884,0.00008728019,0.0001736762,0.001298293,0.0001898008,0.00899554],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003380988,"threshold_uncertainty_score":0.006722629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01807222067834079,"score_gpt":0.2268476412063899,"score_spread":0.2087754205280491,"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."}}