{"id":"W2085163522","doi":"10.1016/s0021-9673(99)01084-5","title":"Multiresidue methods using solid-phase extraction techniques for monitoring priority pesticides, including triazines and degradation products, in ground and surface waters","year":2000,"lang":"en","type":"review","venue":"Journal of Chromatography A","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":231,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Solid phase extraction; Chemistry; Pesticide; Extraction (chemistry); Degradation (telecommunications); Triazine; Chromatography; Environmental chemistry; Pesticide residue; Organic chemistry","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":[0.0009295226,0.001300219,0.001361838,0.001694351,0.0002479845,0.0005675831,0.001828181,0.001069891,0.002566442],"category_scores_gemma":[0.0003950532,0.0005030418,0.0004433721,0.001319569,0.0003876633,0.001230525,0.0005154516,0.001052309,0.004052084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005212543,"about_ca_system_score_gemma":0.0006781698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006291931,"about_ca_topic_score_gemma":0.002155136,"domain_scores_codex":[0.9994996,0.00002866969,0.00003110436,0.0001221962,0.0002872285,0.00003118864],"domain_scores_gemma":[0.9995938,0.0001114701,0.00006945032,0.00002788757,0.0001626177,0.00003478378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009796721,0.0001210327,0.0002108318,0.00338359,0.00005613848,0.0001448332,0.0000214189,0.0003307497,0.1155592,0.0008085163,0.004461733,0.874804],"study_design_scores_gemma":[0.00006026913,0.0008790941,0.004933065,0.0006040605,0.0002640138,0.005598495,0.00005973707,0.00134096,0.2456928,0.00142105,0.7390501,0.00009620954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00769838,0.9536097,0.03006818,0.0004090843,0.0006346902,0.0001028236,0.0002148881,0.0002319087,0.007030292],"genre_scores_gemma":[0.02149616,0.9087937,0.03893573,0.0008214585,0.0004139631,0.0001331289,0.0005941488,0.00003530895,0.02877642],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002566442,"threshold_uncertainty_score":0.008585572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1430558503598515,"score_gpt":0.4869456388263406,"score_spread":0.343889788466489,"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."}}