{"id":"W2026609572","doi":"10.1007/s10858-010-9458-0","title":"A novel strategy for NMR resonance assignment and protein structure determination","year":2010,"lang":"en","type":"article","venue":"Journal of Biomolecular NMR","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto; Ontario Institute for Cancer Research","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Chemistry; Nuclear magnetic resonance spectroscopy; Two-dimensional nuclear magnetic resonance spectroscopy; Biological system; Nuclear Overhauser effect; Resonance (particle physics); Nuclear magnetic resonance; Physics; Stereochemistry","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":[0.000184752,0.0001407271,0.0001499657,0.00005681864,0.00006095619,0.00004532028,0.00015812,0.0002087588,0.000004143407],"category_scores_gemma":[0.0001113235,0.0001168349,0.00009340343,0.00005305404,0.00006836873,0.000009374978,0.00004258324,0.000167028,1.218203e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009955377,"about_ca_system_score_gemma":0.0001041955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002523348,"about_ca_topic_score_gemma":0.00002941062,"domain_scores_codex":[0.9991993,0.00001957416,0.0002682832,0.0001828952,0.0001639584,0.000166041],"domain_scores_gemma":[0.999257,0.000006181661,0.0002699239,0.0001810815,0.0001953266,0.00009042925],"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":[0.0001210393,0.00002459408,0.00007321138,0.0000217276,0.00002529736,0.000008055707,0.00001243598,0.00001609623,0.9715988,0.0003206419,0.00005987014,0.02771825],"study_design_scores_gemma":[0.001539047,0.00102332,0.001485026,0.0000309527,0.00003870712,0.000578435,0.00002027866,0.0007175029,0.9701265,0.002316695,0.0218975,0.0002260881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7910464,0.0005619801,0.2077293,0.0001366402,0.0001044282,0.0003167547,0.00004597538,0.000002652536,0.00005592726],"genre_scores_gemma":[0.9607097,0.00001726647,0.03874619,0.0001094787,0.0002727016,0.000007769082,0.00001770895,0.00001874362,0.0001004386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1696633,"threshold_uncertainty_score":0.4764388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006958673790687331,"score_gpt":0.2579370007051562,"score_spread":0.2509783269144689,"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."}}