{"id":"W2137005453","doi":"10.1039/c4an01681e","title":"Quantitative analysis of sitagliptin using the<sup>19</sup>F-NMR method: a universal technique for fluorinated compound detection","year":2014,"lang":"en","type":"article","venue":"The Analyst","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Detection limit; Analyte; Chemistry; Analytical Chemistry (journal); Nuclear magnetic resonance spectroscopy; Proton NMR; Quantitative analysis (chemistry); Chromatography; Stereochemistry","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":[0.001651449,0.0007852614,0.0005309739,0.0007949342,0.0003580301,0.0004555751,0.0004114156,0.0009034993,0.001060762],"category_scores_gemma":[0.001401843,0.0002389048,0.0002607372,0.0004512844,0.0007083218,0.0005147664,0.0003134296,0.0007247913,0.0007457464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004072393,"about_ca_system_score_gemma":0.0006396741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000682688,"about_ca_topic_score_gemma":0.001159979,"domain_scores_codex":[0.9991615,0.0002470916,0.00004580107,0.0002040025,0.0002820155,0.00005947693],"domain_scores_gemma":[0.9991652,0.000318636,0.0001744432,0.00005295666,0.0002403992,0.00004836791],"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":[0.00008377672,0.00001729813,0.0004474955,0.0001166226,0.00001360277,0.00005319939,0.00002679586,0.0000998767,0.9855303,0.0001857006,0.0002274583,0.01319794],"study_design_scores_gemma":[0.000009084788,0.0002731841,0.002032738,0.00001746439,0.00003337624,0.0006262622,0.00003487537,0.002730354,0.9890592,0.0001845579,0.004973816,0.00002505491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4469515,0.03126038,0.5079797,0.0009654051,0.000406825,0.0004619806,0.001739736,0.001814914,0.00841959],"genre_scores_gemma":[0.5038674,0.01382833,0.4743318,0.0007970674,0.0001752301,0.0005376204,0.001082059,0.0001703342,0.005210175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001651449,"threshold_uncertainty_score":0.008733809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02713665283000925,"score_gpt":0.3090150032123282,"score_spread":0.2818783503823189,"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."}}