{"id":"W2615057484","doi":"10.1016/j.aca.2017.04.053","title":"Rapid determination of nitrate in vegetables by gas chromatography mass spectrometry","year":2017,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Chemistry; Mass spectrometry; Chromatography; Gas chromatography; Nitrate; Gas chromatography–mass spectrometry; Environmental chemistry; 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":[0.0004613043,0.000543399,0.0004484267,0.0005823394,0.000361491,0.0003447456,0.0004678194,0.0008782583,0.0004931577],"category_scores_gemma":[0.0004947862,0.0003676491,0.0002909101,0.0002758611,0.0003795123,0.0004994941,0.0004792908,0.0005824468,0.0005569272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000523071,"about_ca_system_score_gemma":0.000824633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004418809,"about_ca_topic_score_gemma":0.009162935,"domain_scores_codex":[0.9994456,0.0000772811,0.00001733837,0.0001679496,0.0002509427,0.00004084431],"domain_scores_gemma":[0.9997143,0.00007841227,0.00002912221,0.00002162749,0.0001233476,0.00003317485],"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":[0.0001533969,0.00001478874,0.001685984,0.00004996237,0.00001173539,0.00003258585,0.0000266078,0.00007725965,0.9928696,0.00004632435,0.000136583,0.004895247],"study_design_scores_gemma":[0.00006121558,0.0006003893,0.01765917,0.00004220595,0.0000466793,0.0006256811,0.0001657721,0.005207058,0.9681581,0.0004175131,0.0069709,0.00004535476],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497433,0.01424485,0.1234136,0.0009512049,0.0003773272,0.0003548645,0.002594498,0.001412777,0.006907698],"genre_scores_gemma":[0.882268,0.003614226,0.1046678,0.0004771474,0.00006446517,0.0002833969,0.001054576,0.00009846014,0.007471875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004418809,"threshold_uncertainty_score":0.008786201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00874345667351955,"score_gpt":0.2255424049661938,"score_spread":0.2167989482926742,"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."}}