{"id":"W2385143080","doi":"","title":"Use of accelerated solvent extraction techniques in pesticide residue analysis","year":2006,"lang":"en","type":"article","venue":"","topic":"Pesticide Residue Analysis and Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Accelerated solvent extraction; Limiting; Extraction (chemistry); Pesticide residue; Residue (chemistry); Sample preparation; Pesticide; Chromatography; Solvent; Contamination; Solvent extraction; Chemistry; Environmental chemistry; Organic chemistry; Agronomy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068512,0.0005853684,0.0004659382,0.001250882,0.0003633505,0.0004870851,0.0005148751,0.0005572336,0.0007876884],"category_scores_gemma":[0.0009912773,0.000316907,0.0004264901,0.00109217,0.0004359049,0.000865677,0.0005001849,0.0007927925,0.0007189192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002855906,"about_ca_system_score_gemma":0.0004301473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003915644,"about_ca_topic_score_gemma":0.0007032614,"domain_scores_codex":[0.9985577,0.000352663,0.00007846039,0.0002124294,0.000748684,0.00005014497],"domain_scores_gemma":[0.9993504,0.0002287553,0.0001040191,0.0000601349,0.0002300116,0.00002673343],"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":[0.0001191459,0.00006914891,0.001050979,0.0005145334,0.00004199509,0.0002960087,0.00007495651,0.0006956719,0.8924776,0.001236615,0.0003361508,0.1030873],"study_design_scores_gemma":[0.00001992023,0.0004994387,0.004389207,0.00005873504,0.0000600499,0.002310829,0.00004187792,0.004049391,0.9407987,0.001143693,0.04657779,0.00005043306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.216934,0.06070742,0.7054394,0.000548668,0.0004957053,0.0004898816,0.000434052,0.0009074261,0.01404355],"genre_scores_gemma":[0.3654947,0.04957008,0.5720573,0.0003506599,0.000240273,0.0002431918,0.0006309491,0.0001010844,0.01131166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001250882,"threshold_uncertainty_score":0.005650938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361255538603102,"score_gpt":0.271477230911768,"score_spread":0.2278646755257369,"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."}}