{"id":"W1925262378","doi":"10.1039/b311997c","title":"In vivo study of triazine herbicides in plants by SPME","year":2004,"lang":"en","type":"article","venue":"The Analyst","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"In vivo; Triazine; Chemistry; Extraction (chemistry); Plant tissue; Chromatography; Desorption; Fiber; Solvent; Environmental chemistry; Botany; Adsorption; Biology; Biotechnology; Biochemistry; 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":[0.0002057869,0.0006644761,0.0003920625,0.0001926451,0.000266391,0.0002318681,0.0002415322,0.0004027019,0.0009405423],"category_scores_gemma":[0.00014766,0.0002286272,0.0002248284,0.0001608587,0.0002481059,0.0003086754,0.0001444836,0.0007303443,0.0003192867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809723,"about_ca_system_score_gemma":0.00021821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260883,"about_ca_topic_score_gemma":0.002189974,"domain_scores_codex":[0.999894,0.00002128647,0.00000438767,0.00003696916,0.0000213674,0.00002200994],"domain_scores_gemma":[0.9998543,0.00005196593,0.00003004363,0.00002007883,0.00002412357,0.00001952625],"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":[0.00003592679,0.000005120937,0.00002304568,0.00001196297,0.000002308682,0.000007372159,0.000005789979,0.00001301335,0.9996755,0.000007963052,0.000003947602,0.000208151],"study_design_scores_gemma":[0.000006295464,0.0003564614,0.001060109,0.000001982275,0.00001088248,0.00004516682,0.0000130907,0.0002551639,0.9977501,0.00001947953,0.0004789286,0.000002315243],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975181,0.002021496,0.01963967,0.0001472104,0.00003906577,0.00009808778,0.0005785215,0.0002986055,0.001996216],"genre_scores_gemma":[0.9765567,0.002440204,0.01337514,0.0001010819,0.00002013561,0.0001550215,0.0006801842,0.00008402481,0.006587603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001260883,"threshold_uncertainty_score":0.00314641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009429607257724164,"score_gpt":0.257138615059981,"score_spread":0.2477090078022569,"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."}}