{"id":"W1971983395","doi":"10.1016/j.chroma.2008.03.063","title":"Comparison of thin-film microextraction and stir bar sorptive extraction for the analysis of polycyclic aromatic hydrocarbons in aqueous samples with controlled agitation conditions","year":2008,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":118,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Extraction (chemistry); Chemistry; Chromatography; Aqueous solution; Analytical Chemistry (journal); Thin film; Bar (unit); Materials science; Organic chemistry; Nanotechnology","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":[0.0004104385,0.0001647245,0.0008933322,0.0004792453,0.00009721114,0.0000136295,0.0001197681,0.0001011463,0.00001922776],"category_scores_gemma":[0.0003765891,0.000114725,0.0003959224,0.0006746043,0.0002823952,0.0001458318,0.000007763653,0.0002388051,7.590919e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005561065,"about_ca_system_score_gemma":0.000103967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004109236,"about_ca_topic_score_gemma":0.00003467773,"domain_scores_codex":[0.998203,0.00006700069,0.001091212,0.0001401128,0.0003526891,0.0001459568],"domain_scores_gemma":[0.9956372,0.00239581,0.001659018,0.0001489418,0.00008918387,0.00006984756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002558767,0.001168825,0.1621752,0.0002159504,0.01018329,0.00001872948,0.003797497,0.002302344,0.8167611,0.00004728211,0.00009111202,0.0006798673],"study_design_scores_gemma":[0.01143634,0.0004125396,0.4740379,0.0006405583,0.01031561,0.0004770013,0.01307311,0.07153641,0.4155934,0.001926814,0.00008090636,0.0004694656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632832,0.0009016367,0.03532639,0.0001214459,0.00001860981,0.0001579388,0.00001643839,0.000007257251,0.0001671281],"genre_scores_gemma":[0.9875929,0.0001580939,0.01215674,0.00001134792,0.00002095201,0.00002145585,0.00001645141,0.00001145362,0.00001057257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4011677,"threshold_uncertainty_score":0.4678348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181338011825931,"score_gpt":0.3269231285372314,"score_spread":0.2951097484189721,"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."}}