{"id":"W2603426852","doi":"10.1073/pnas.1619051114","title":"Combining DNP NMR with segmental and specific labeling to study a yeast prion protein strain that is not parallel in-register","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Government of Canada; National Institutes of Health; National Institute of General Medical Sciences; Life Sciences Research Foundation; Howard Hughes Medical Institute","keywords":"Heteronuclear molecule; Heteronuclear single quantum coherence spectroscopy; Monomer; Chemistry; Amyloid (mycology); Degeneracy (biology); Intermolecular force; Isotopic labeling; Nuclear magnetic resonance spectroscopy; Crystallography; Molecule; Biology; Bioinformatics; Stereochemistry; Polymer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006388621,0.00007759667,0.00009135209,0.00004815424,0.0002361588,0.00006994851,0.0004646135,0.00003935615,0.000003886269],"category_scores_gemma":[0.00007746743,0.00005332502,0.00002363772,0.00007345533,0.0002467467,0.00003261645,0.0002518733,0.00006626339,2.353331e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008249062,"about_ca_system_score_gemma":0.00001657086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006883024,"about_ca_topic_score_gemma":4.237983e-7,"domain_scores_codex":[0.9990566,0.000005342253,0.0001386898,0.0002550583,0.0004337671,0.0001105865],"domain_scores_gemma":[0.9996503,0.000004758909,0.0002323968,0.0000180832,0.00005864048,0.0000358289],"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":[0.0001148614,0.00006712133,0.06469613,0.00002444813,0.00001591764,3.429e-8,0.0003279204,0.00002653855,0.9316024,0.0004206974,0.00002746629,0.00267652],"study_design_scores_gemma":[0.0008967,0.0003165796,0.4147192,0.0002161335,0.000008352411,0.000005304076,0.001000979,0.00009679306,0.5813806,0.001013479,0.0002068116,0.0001390717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976222,0.0002090191,0.00000233677,0.001454114,0.000004026217,0.0004495735,0.0000147206,0.00000148985,0.0002425534],"genre_scores_gemma":[0.9975683,0.00003458227,0.002124801,0.0001740335,0.00002899077,0.00002276077,1.668599e-7,0.000003616807,0.00004271712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3502217,"threshold_uncertainty_score":0.2174531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502613896117991,"score_gpt":0.315616747936641,"score_spread":0.260590608975461,"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."}}