{"id":"W2051288637","doi":"10.1007/s10858-008-9287-6","title":"Detection and assignment of phosphoserine and phosphothreonine residues by 13C–31P spin-echo difference NMR spectroscopy","year":2008,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Chemistry; Phosphoserine; Spin echo; Serine; Heteronuclear single quantum coherence spectroscopy; Nuclear magnetic resonance spectroscopy; Nuclear magnetic resonance; Amide; Crystallography; Phosphorylation; Stereochemistry; Physics; Biochemistry; Magnetic resonance imaging","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":[0.0001395496,0.000179873,0.0002734626,0.00006050351,0.00007204938,0.00001600471,0.000123171,0.0001384184,0.000006029737],"category_scores_gemma":[0.00004824156,0.000152085,0.00008266791,0.00008984109,0.0001858365,0.000007965581,0.00008059986,0.0001336385,2.170335e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001960866,"about_ca_system_score_gemma":0.00005191786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003543337,"about_ca_topic_score_gemma":0.00001115147,"domain_scores_codex":[0.998988,0.00004007431,0.0003615536,0.0002131485,0.0002194663,0.0001777625],"domain_scores_gemma":[0.9992383,0.000007102954,0.0003378559,0.000191164,0.0001062612,0.0001192958],"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":[0.0002873368,0.00004614727,0.002933944,0.00002287008,0.0000813856,0.00003526014,0.00003830485,0.000003729342,0.993277,0.00001143286,0.0001060083,0.003156595],"study_design_scores_gemma":[0.0009096371,0.00148615,0.01054136,0.00003371353,0.00003766094,0.0005832459,0.00002445242,0.00007326418,0.9849907,0.0002299676,0.0009339933,0.0001558917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9385076,0.01069971,0.05046849,0.00007412278,0.0000619076,0.0001052891,0.00001275922,0.000003534387,0.00006658463],"genre_scores_gemma":[0.9904372,0.005324737,0.003970156,0.00009444811,0.00006913596,0.000001937359,0.0000071761,0.00001789523,0.00007732014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0519296,"threshold_uncertainty_score":0.6201845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004130777096293871,"score_gpt":0.2261521294269197,"score_spread":0.2220213523306258,"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."}}