{"id":"W2060818147","doi":"10.1038/nmeth1080","title":"Solution NMR of supramolecular complexes: providing new insights into function","year":2007,"lang":"en","type":"article","venue":"Nature Methods","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":175,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of New Brunswick; Canada Research Chairs","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Supramolecular chemistry; Valine; Nuclear magnetic resonance spectroscopy; Molecular recognition; Molecule; Function (biology); Molecular dynamics; Isoleucine; Chemistry; Nanotechnology; Materials science; Leucine; Amino acid; Computational chemistry; Biology; Biochemistry; Stereochemistry; Organic chemistry; Genetics","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":[0.0006064781,0.0001502969,0.0001681867,0.00008504666,0.00007051811,0.000009916437,0.0001545819,0.0006047657,0.000006536529],"category_scores_gemma":[0.0002869719,0.0001340699,0.0001047819,0.0001976577,0.0000550023,0.000005843886,0.00008769133,0.0003029733,7.933565e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002276209,"about_ca_system_score_gemma":0.00008285894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004809592,"about_ca_topic_score_gemma":0.00007606208,"domain_scores_codex":[0.9989852,0.0001364173,0.0002350991,0.0002970228,0.0001505816,0.0001957115],"domain_scores_gemma":[0.999312,0.00003019622,0.0001279098,0.0003223594,0.0001240839,0.0000834684],"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":[0.0001632883,0.00001357621,0.0001221806,0.00002865911,0.00004145561,0.000001258401,0.00006195442,0.00003153623,0.9335265,0.003189786,0.0003299861,0.0624898],"study_design_scores_gemma":[0.0003579114,0.0002460936,0.001368026,0.0000134315,0.0000325432,0.000008384655,0.0000307115,0.0002235264,0.8999014,0.009094725,0.08856031,0.0001629337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09254296,0.00654954,0.8991212,0.00004415633,0.0003648438,0.0001895561,0.000001093739,0.00001749839,0.001169168],"genre_scores_gemma":[0.6253597,0.00002718776,0.3738622,0.0002533805,0.0002971934,0.000001987216,0.00007257856,0.0000150806,0.0001106784],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5328167,"threshold_uncertainty_score":0.5467211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024065089301604,"score_gpt":0.3342827063879592,"score_spread":0.3240420554949431,"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."}}