{"id":"W2031523507","doi":"10.1016/j.aca.2015.01.036","title":"Fabric phase sorptive extraction: A new sorptive microextraction technique for the determination of non-steroidal anti-inflammatory drugs from environmental water samples","year":2015,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Xunta de Galicia; FPInnovations; Ministerio de Economía y Competitividad; Federación Española de Enfermedades Raras","keywords":"Chemistry; Solid-phase microextraction; Extraction (chemistry); Chromatography; Environmental chemistry; Gas chromatography–mass spectrometry; Mass spectrometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003013765,0.0007801934,0.000478266,0.0003913717,0.0002744144,0.0003010443,0.0004883033,0.0007378542,0.0008383428],"category_scores_gemma":[0.0002810412,0.0003279418,0.0003127091,0.0002526878,0.0003413268,0.0004702487,0.0004633874,0.0007790613,0.0009832048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001668587,"about_ca_system_score_gemma":0.0003510189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002653821,"about_ca_topic_score_gemma":0.001174146,"domain_scores_codex":[0.9996132,0.00005189724,0.00001842901,0.00009479049,0.0001919593,0.00002965256],"domain_scores_gemma":[0.9998482,0.00004460698,0.00003721554,0.00001719508,0.000035128,0.00001752406],"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":[0.0000380182,0.0000171866,0.00007915017,0.00005930986,0.000005482899,0.00003828361,0.00000963151,0.00003078261,0.9916993,0.00004535197,0.00009409343,0.007883416],"study_design_scores_gemma":[0.000006869753,0.0001162436,0.0005804213,0.000003319633,0.00001141668,0.0003419749,0.000008307687,0.0005899891,0.9947208,0.00003681165,0.003575018,0.000008865822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4741218,0.01058964,0.503434,0.001121195,0.0006872001,0.000528702,0.001199942,0.001531238,0.006786248],"genre_scores_gemma":[0.6353084,0.01068654,0.3299117,0.001239709,0.0002780568,0.0002090565,0.0007828528,0.0001562719,0.0214274],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008383428,"threshold_uncertainty_score":0.002804518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02952083618333443,"score_gpt":0.3007680284911289,"score_spread":0.2712471923077945,"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."}}