{"id":"W1980416814","doi":"10.1021/ac026162q","title":"Thin-Film Microextraction","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":462,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Norges Forskningsråd","keywords":"Solid-phase microextraction; Extraction (chemistry); Chromatography; Chemistry; Analyte; Sample preparation; Membrane; Matrix (chemical analysis); Analytical Chemistry (journal); Detection limit; Gas chromatography; Gas chromatography–mass spectrometry; Mass spectrometry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003828152,0.0003854739,0.0003989871,0.00002127689,0.0001363509,0.00007654447,0.0003466835,0.0004168119,0.03025752],"category_scores_gemma":[0.001373106,0.0003844331,0.0002688167,0.0002746834,0.0002030843,0.0001028772,0.00006957709,0.0007241218,0.0003606614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002963057,"about_ca_system_score_gemma":0.0001809715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005280488,"about_ca_topic_score_gemma":3.040774e-7,"domain_scores_codex":[0.9975172,0.00002499102,0.0005689353,0.0007161882,0.0005071355,0.0006655437],"domain_scores_gemma":[0.9982812,0.0002894301,0.0001266719,0.0006867754,0.0001293515,0.0004866005],"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":[0.0000644962,0.0005340288,0.00548329,0.0007043215,0.0003805371,0.0001945807,0.00005515095,0.00008002057,0.9809193,0.004065322,0.006620412,0.0008985319],"study_design_scores_gemma":[0.0003988956,0.000003082896,0.00004443387,0.00003729836,0.0001059688,0.0001332348,0.0001632582,0.002443742,0.8714766,0.0016469,0.1230525,0.0004941327],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0725577,0.0001706956,0.00951575,0.0003010425,0.00006048753,0.00003604008,0.00001137159,0.0002691011,0.9170778],"genre_scores_gemma":[0.8953329,0.00004124499,0.01086721,0.0002621287,0.0002785361,0.00002175419,0.00006113083,0.00007292437,0.09306217],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8240156,"threshold_uncertainty_score":0.9998608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02388937178267927,"score_gpt":0.2902248754982894,"score_spread":0.2663355037156102,"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."}}