{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120244,0.00007201679,0.0002138668,0.00004288256,0.00002171924,0.000005895752,0.0002234133,0.00003027434,0.0001764325],"category_scores_gemma":[0.000009951155,0.00004852898,0.00004700448,0.0003981654,0.00002170221,0.00002247434,0.00002544327,0.0001165616,0.00000959997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003786941,"about_ca_system_score_gemma":0.00001034238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002509192,"about_ca_topic_score_gemma":0.002999353,"domain_scores_codex":[0.9993201,0.00001201077,0.0002886152,0.0001378742,0.0001201658,0.0001212646],"domain_scores_gemma":[0.9995849,0.00004534624,0.00007810675,0.0002619561,0.000009544105,0.00002018886],"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":[0.00002111376,0.0007694887,0.00475752,0.000006020773,0.00005297828,0.000002394362,0.0003028832,0.0002584214,0.993498,0.00006584916,0.0002128231,0.00005246755],"study_design_scores_gemma":[0.001515071,0.00002840252,0.0006576093,0.00002640004,0.00006949851,0.000001219871,0.001303447,0.0001301701,0.9937068,0.001950831,0.0005057463,0.0001048351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977763,0.0001704544,0.00001027986,0.0003532439,0.000001167973,0.00004575154,0.000006862843,0.000005911312,0.001629996],"genre_scores_gemma":[0.9993795,0.00002977293,0.000008298717,0.00004002939,0.00001933397,0.00002100754,0.000007739125,0.000004811692,0.000489475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004099911,"threshold_uncertainty_score":0.3793165,"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."}}