{"id":"W4295424681","doi":"10.1007/s00216-022-04292-0","title":"Site-specific carbon isotope measurements of vanillin reference materials by nuclear magnetic resonance spectrometry","year":2022,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Biochemical and biochemical processes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Métis National Council; National Research Council Canada","funders":"National Research Council Canada; Agence Nationale de la Recherche","keywords":"Vanillin; Mass spectrometry; Chemistry; Isotope; Carbon fibers; Isotope-ratio mass spectrometry; Isotopes of carbon; Isotopic ratio; Analytical Chemistry (journal); Detection limit; Environmental chemistry; Chromatography; Total organic carbon; Organic chemistry; Materials science; Nuclear physics; Physics","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":[0.001414561,0.000902297,0.0003402366,0.00189264,0.0003945762,0.0007193451,0.001096368,0.0009800993,0.005967695],"category_scores_gemma":[0.002370992,0.0002977316,0.0003922887,0.001067184,0.0005769979,0.0005979967,0.0007605713,0.00123681,0.00191909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007322873,"about_ca_system_score_gemma":0.0005474078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148847,"about_ca_topic_score_gemma":0.002930104,"domain_scores_codex":[0.9983721,0.0001832643,0.00004152639,0.0004431525,0.0008187605,0.0001412389],"domain_scores_gemma":[0.9993141,0.0001329277,0.0001461086,0.0001099049,0.0002638852,0.00003319644],"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":[0.0001517038,0.00004367664,0.001485059,0.0003059416,0.00005544346,0.0001013416,0.00007873659,0.00106728,0.9675075,0.00273031,0.001995416,0.02447761],"study_design_scores_gemma":[0.00001348983,0.0001306022,0.001713498,0.00004774522,0.0000301113,0.0001768059,0.00006671366,0.003682497,0.9784052,0.0007986252,0.01489677,0.00003785609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5809116,0.008040413,0.3594428,0.001321165,0.000898331,0.0004861777,0.01352895,0.004416986,0.03095367],"genre_scores_gemma":[0.8272622,0.003255822,0.1494114,0.0006625355,0.0001097741,0.0002660769,0.007704645,0.0005568942,0.01077067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005967695,"threshold_uncertainty_score":0.01996398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587904961679245,"score_gpt":0.2210706843477237,"score_spread":0.2051916347309312,"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."}}