{"id":"W2079554144","doi":"10.1021/ac990726h","title":"In-Tube Solid-Phase Microextraction Coupled to Capillary LC for Carbamate Analysis in Water Samples","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chromatography; Chemistry; Capillary action; Solid-phase microextraction; Sample preparation; Carbamate; Detection limit; Capillary electrophoresis; High-performance liquid chromatography; Extraction (chemistry); Carbaryl; Analytical Chemistry (journal); Mass spectrometry; Pesticide; Gas chromatography–mass spectrometry; Materials science","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":[0.0006189169,0.0007034501,0.000550058,0.0006920805,0.0003627806,0.0003366399,0.0005696858,0.0005445596,0.001722955],"category_scores_gemma":[0.001093478,0.0004105571,0.000245314,0.0005971441,0.0003900736,0.0003714106,0.0003729723,0.0007440016,0.0008126275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004505752,"about_ca_system_score_gemma":0.0006755792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001239648,"about_ca_topic_score_gemma":0.005410935,"domain_scores_codex":[0.9992943,0.0002034334,0.00002932567,0.0001393788,0.0002962745,0.00003731604],"domain_scores_gemma":[0.9995188,0.0002287286,0.00004753124,0.00002864554,0.0001502812,0.00002606217],"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":[0.00006211732,0.00002644469,0.0003912814,0.0001588856,0.00002076212,0.00004985325,0.00003639301,0.0001388468,0.9806055,0.00009606231,0.0002254995,0.0181884],"study_design_scores_gemma":[0.00001489107,0.0002729406,0.002853014,0.00001804754,0.00005768448,0.0003666853,0.00002736849,0.005812385,0.9827587,0.0001864123,0.007607616,0.00002436542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3670807,0.016459,0.6033705,0.000564932,0.0003468361,0.001010879,0.001183435,0.00310651,0.00687719],"genre_scores_gemma":[0.348023,0.007936752,0.6334609,0.0006270413,0.0001266433,0.0005177015,0.001072793,0.0002819295,0.007953195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001722955,"threshold_uncertainty_score":0.005763888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243719836917924,"score_gpt":0.3099461412488684,"score_spread":0.2975089428796892,"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."}}