{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002412513,0.0004441724,0.0008415797,0.0001581383,0.00009024167,0.00008168328,0.0003898075,0.0004573707,0.02049841],"category_scores_gemma":[0.00009983492,0.0004058167,0.0006047051,0.0009949268,0.000138159,0.0001421753,0.00005533543,0.000445531,0.00008098898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002029569,"about_ca_system_score_gemma":0.00005050145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002163688,"about_ca_topic_score_gemma":0.00007978817,"domain_scores_codex":[0.9968913,0.00001253795,0.0008983675,0.0009019591,0.000336121,0.0009596847],"domain_scores_gemma":[0.9985763,0.0001907906,0.00006133226,0.0006316231,0.00008783805,0.0004521422],"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":[0.0006546819,0.0009420268,0.004921761,0.0005723385,0.0006862806,0.0002230383,0.0001330864,0.001569646,0.9890136,0.00001796646,0.001022758,0.0002428286],"study_design_scores_gemma":[0.002257213,0.00002410797,0.0002359773,0.00006949899,0.0008025955,0.00002622526,0.0002043915,0.03228018,0.9501477,0.0004070652,0.01280935,0.0007357181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886004,0.00007374661,0.0002558755,0.0006895058,0.00001257761,0.0001051991,0.00008129441,0.00007209776,0.01010934],"genre_scores_gemma":[0.9922026,0.00004756351,0.0001625533,0.0003250873,0.0002157558,0.00007913665,0.00053878,0.00004213924,0.006386347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03886592,"threshold_uncertainty_score":0.9998394,"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."}}