{"id":"W2787593167","doi":"10.1021/acs.analchem.7b05436","title":"Effect of Binding Components in Complex Sample Matrices on Recovery in Direct Immersion Solid-Phase Microextraction: Friends or Foe?","year":2018,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Chemistry; Analyte; Solid-phase microextraction; Chromatography; Sorbent; Matrix (chemical analysis); Solid phase extraction; Extraction (chemistry); Sample preparation; Desorption; Complex matrix; Analytical Chemistry (journal); Mass spectrometry; Adsorption; Organic chemistry; Gas chromatography–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":[0.0008665918,0.0004568881,0.0009209685,0.0001459018,0.00008155168,0.00003845774,0.0004471818,0.0004026553,0.006949028],"category_scores_gemma":[0.001160644,0.000400317,0.0002266418,0.0008064881,0.0003053859,0.0001092645,0.0001825717,0.000589596,0.00006406354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000615742,"about_ca_system_score_gemma":0.00009350931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051193,"about_ca_topic_score_gemma":0.000006942565,"domain_scores_codex":[0.9968663,0.00008679329,0.001017416,0.0008058599,0.0005475427,0.0006760223],"domain_scores_gemma":[0.9964263,0.00239749,0.0002847669,0.0005448211,0.00008099998,0.0002656637],"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":[0.00362197,0.0008011127,0.01009359,0.001176601,0.0001452589,0.0001393978,0.00004395964,0.00001622222,0.9807408,0.000004125884,0.0004413167,0.002775684],"study_design_scores_gemma":[0.002769257,0.0002206649,0.0003017728,0.0004747908,0.0001006328,0.00002119876,0.0001018529,0.005498759,0.988757,0.00002975412,0.001285955,0.0004383521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968231,0.00002881399,0.0003460043,0.00009408014,0.00004396738,0.0000873864,0.00009006185,0.00004870397,0.03103001],"genre_scores_gemma":[0.9967036,0.00003777663,0.001461128,0.00003828654,0.000194952,0.00001735005,0.0002547753,0.00004226094,0.001249897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02978012,"threshold_uncertainty_score":0.9998448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05414729276262774,"score_gpt":0.3879440257699009,"score_spread":0.3337967330072731,"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."}}