{"id":"W1985942178","doi":"10.1021/ac4003112","title":"Solid-Phase Microextraction in Targeted and Nontargeted Analysis: Displacement and Desorption Effects","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal de Santa Catarina","keywords":"Chemistry; Solid-phase microextraction; Desorption; Displacement (psychology); Chromatography; Adsorption; Gas chromatography–mass spectrometry; Mass spectrometry; Organic chemistry","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":[0.0002732777,0.0003909713,0.0006161542,0.00009562739,0.00008103317,0.0001182854,0.0001459795,0.0003436678,0.002372061],"category_scores_gemma":[0.0003892027,0.0003836461,0.0001353039,0.0005319803,0.0001982034,0.0001843886,0.0001391312,0.0004936167,0.00002310155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002640636,"about_ca_system_score_gemma":0.00004678817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000152534,"about_ca_topic_score_gemma":0.00001189445,"domain_scores_codex":[0.9976631,0.00003369199,0.0006323745,0.0007898115,0.0003271584,0.000553887],"domain_scores_gemma":[0.9985948,0.0003417859,0.0001411668,0.0003577267,0.00009233383,0.000472229],"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":[0.00008073098,0.0003676311,0.0218947,0.0006558722,0.0006589138,0.00004460385,0.00006603719,0.00001432994,0.9739575,0.00001636225,0.0001119915,0.002131266],"study_design_scores_gemma":[0.002553255,0.00002593439,0.01501528,0.000111949,0.001122351,0.00003040089,0.0002616772,0.08511201,0.894242,0.0004568335,0.0003397554,0.0007284888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902799,0.0002970379,0.006568306,0.0002705866,0.00001230243,0.0001257718,0.000009144083,0.00007168517,0.002365282],"genre_scores_gemma":[0.994908,0.00008123678,0.002822806,0.00008388349,0.00006695346,0.00007969217,0.0001623456,0.00002644076,0.001768612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08509768,"threshold_uncertainty_score":0.9998615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019111594071171,"score_gpt":0.3271954800575755,"score_spread":0.3170043641168638,"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."}}