{"id":"W2133939981","doi":"10.1007/s10858-012-9617-6","title":"Measurement of the signs of methyl 13C chemical shift differences between interconverting ground and excited protein states by R 1ρ : an application to αB-crystallin","year":2012,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Excited state; Chemistry; Ground state; Relaxation (psychology); Spins; Chemical shift; Molecular physics; Chemical physics; Atomic physics; Physics; Condensed matter physics; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005319631,0.0001249613,0.0002231218,0.00004378211,0.00002695981,0.00001279001,0.0002505404,0.0001067472,0.00000121985],"category_scores_gemma":[0.00008780815,0.00008601935,0.00009020258,0.0001023027,0.0000879751,0.00001235393,0.0001044639,0.0000968322,8.277631e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001952317,"about_ca_system_score_gemma":0.00003742977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003471382,"about_ca_topic_score_gemma":0.000004964792,"domain_scores_codex":[0.9988611,0.0001144767,0.000433822,0.0001292741,0.0003027374,0.0001585808],"domain_scores_gemma":[0.999078,0.000007429669,0.0004225241,0.0002001695,0.0001799059,0.0001119487],"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":[0.00006494697,0.0000557754,0.004841591,0.00004262287,0.00009575103,1.960791e-7,0.0001682316,0.000002482235,0.9917825,0.00002487267,0.000007123701,0.00291394],"study_design_scores_gemma":[0.0002861898,0.0003788106,0.006058563,0.00006260741,0.00005426702,0.000006025536,0.00008310631,0.00004163917,0.9923604,0.0003461511,0.0002172753,0.0001049301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8566988,0.0009264261,0.1420026,0.0001132342,0.00001843401,0.000218916,0.0000147989,0.000001416007,0.000005350414],"genre_scores_gemma":[0.9983709,0.00001264869,0.001454867,0.00005003844,0.00008040425,0.000005726275,0.00001151104,0.00001151834,0.000002383117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1416721,"threshold_uncertainty_score":0.3507767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104817402690224,"score_gpt":0.2500802514195041,"score_spread":0.2390320773926018,"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."}}