{"id":"W4366085204","doi":"10.1021/jasms.3c00026","title":"Improved Chromatography and MS-Based Detection of Glyphosate and Aminomethylphosphonic Acid Using iTrEnDi","year":2023,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University; Mitacs; Government of Ontario; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Chemistry; Aminomethylphosphonic acid; Derivatization; Chromatography; High-performance liquid chromatography; Diazomethane; Glyphosate; Analyte; Mass spectrometry; Metabolite; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004815457,0.001582388,0.0005281005,0.0005768704,0.00034505,0.0004498889,0.0008082692,0.001130309,0.001695951],"category_scores_gemma":[0.0008007357,0.0005717953,0.0006685991,0.0003531634,0.0005782182,0.0006932688,0.0006249382,0.001608876,0.001285493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176008,"about_ca_system_score_gemma":0.0008700287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001952768,"about_ca_topic_score_gemma":0.003778787,"domain_scores_codex":[0.9990386,0.0001260078,0.00005305741,0.0003136075,0.0003742079,0.00009449905],"domain_scores_gemma":[0.9996483,0.00008916078,0.00008517848,0.00003763547,0.00009908089,0.00004063081],"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":[0.00002507335,0.000009775503,0.00005714895,0.00004957162,0.00001108464,0.0000413327,0.00001294333,0.00007009171,0.9977198,0.00007215394,0.00005355015,0.001877386],"study_design_scores_gemma":[0.000004353158,0.00006131257,0.0003923228,0.00000537614,0.000009211558,0.0002038738,0.000009807617,0.0008624589,0.9972013,0.00003239442,0.001204817,0.0000127708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.583891,0.006197792,0.3906687,0.000741988,0.0003578625,0.0007084607,0.003302812,0.003129629,0.01100173],"genre_scores_gemma":[0.6621261,0.00627016,0.3167104,0.0008104778,0.000100697,0.0006303393,0.003341997,0.0003475864,0.009662189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001952768,"threshold_uncertainty_score":0.005673528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01027873288298205,"score_gpt":0.2373833613130272,"score_spread":0.2271046284300452,"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."}}