{"id":"W2947148274","doi":"10.1021/acsomega.9b00931","title":"Selective Amino Acid-Only in Vivo NMR: A Powerful Tool To Follow Stress Processes","year":2019,"lang":"en","type":"article","venue":"ACS Omega","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bruker (Canada); University of Toronto","funders":"","keywords":"Amino acid; In vivo; Heteronuclear single quantum coherence spectroscopy; Metabolome; Metabolomics; Metabolite; Biology; Biochemistry; Computational biology; Chemistry; Nuclear magnetic resonance spectroscopy; Bioinformatics; Stereochemistry; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001241758,0.0002084857,0.0002758865,0.0001253826,0.00003955363,0.00003518763,0.000252083,0.0001202075,0.00002508556],"category_scores_gemma":[0.0002787915,0.0001920368,0.00005807547,0.0005012319,0.00002380475,0.000008181084,0.0002078749,0.0001004287,0.00005941738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002912857,"about_ca_system_score_gemma":0.0001512153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003502135,"about_ca_topic_score_gemma":0.0005400474,"domain_scores_codex":[0.9987321,0.00002586874,0.0002059814,0.0004975915,0.0001509432,0.0003875312],"domain_scores_gemma":[0.9993652,0.00001774223,0.00006485131,0.0003397112,0.0001480598,0.00006444406],"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":[0.0001816022,0.0001393504,0.06976494,0.00008099637,0.0001226805,0.000004936645,0.0002758056,0.00002289023,0.9242406,0.0002660394,0.00414417,0.0007559641],"study_design_scores_gemma":[0.0009590965,0.000650235,0.01766188,0.00002911065,0.00001709048,0.00000672088,0.0003398391,0.000002825511,0.902036,0.0001435618,0.07774577,0.0004078623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892579,0.001310331,0.00006538491,0.0001852952,0.0001600558,0.0004197425,0.00006293208,0.00001396409,0.00852445],"genre_scores_gemma":[0.9938496,0.0003301326,0.0004535997,0.000465709,0.000116466,0.00004135533,0.00002357629,0.0000254042,0.00469418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0736016,"threshold_uncertainty_score":0.7831034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005651227592580682,"score_gpt":0.2348294779578051,"score_spread":0.2291782503652244,"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."}}