{"id":"W2765726313","doi":"10.1016/j.aca.2017.10.007","title":"High throughput screening of phenoxy carboxylic acids with dispersive solid phase extraction followed by direct analysis in real time mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"Chemistry; Mass spectrometry; Extraction (chemistry); Carboxylic acid; Throughput; Solid phase extraction; Chromatography; Phase (matter); Analytical Chemistry (journal); 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":[0.0005361154,0.0009099611,0.0007612711,0.0006860247,0.000340104,0.0005106284,0.0004681757,0.0007054638,0.0006740976],"category_scores_gemma":[0.0003903347,0.0003142456,0.0005005476,0.000626963,0.0002293125,0.0002932305,0.0005323919,0.0004066396,0.0007034597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002405431,"about_ca_system_score_gemma":0.0004249069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004966633,"about_ca_topic_score_gemma":0.001232404,"domain_scores_codex":[0.9992532,0.0001122229,0.00003346848,0.0001289525,0.0003868691,0.00008525336],"domain_scores_gemma":[0.9997804,0.00006073106,0.00003356002,0.00002103859,0.00007478552,0.00002949696],"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":[0.0001319624,0.00005881957,0.000184941,0.00003887187,0.000009334642,0.00004047427,0.000005724362,0.00008795328,0.9963726,0.00001182261,0.00003890228,0.003018549],"study_design_scores_gemma":[0.00002741338,0.001060102,0.00323625,0.000004538939,0.00005482506,0.0002935682,0.00001973029,0.001362711,0.9923478,0.0000400718,0.001539709,0.00001334131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526904,0.003469388,0.03843711,0.0002797553,0.000104632,0.0006582891,0.001603133,0.0005362291,0.002221136],"genre_scores_gemma":[0.9136854,0.004520649,0.07079391,0.0002669911,0.00007393733,0.0005976067,0.002041192,0.00004833923,0.007971931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009099611,"threshold_uncertainty_score":0.002835274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107226699783229,"score_gpt":0.3039220600081576,"score_spread":0.2931993900298347,"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."}}