{"id":"W2613315117","doi":"10.1016/j.jmb.2017.05.005","title":"Oligomeric Structure of Anabaena Sensory Rhodopsin in a Lipid Bilayer Environment by Combining Solid-State NMR and Long-range DEER Constraints","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; North Carolina Biotechnology Center; U.S. Department of Energy; Ministry of Science and Technology of the People's Republic of China; Beijing National Laboratory for Molecular Sciences; National Institutes of Health; National Science Foundation","keywords":"Rhodopsin; Anabaena; Lipid bilayer; Range (aeronautics); Solid-state nuclear magnetic resonance; Chemistry; Crystallography; Biophysics; Biology; Materials science; Biochemistry; Nuclear magnetic resonance; Physics; Genetics; Membrane; Cyanobacteria","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":[0.00008964836,0.0001235014,0.0003025264,0.00005616634,0.00005305171,0.00001057641,0.0002030366,0.0001227614,0.00007615451],"category_scores_gemma":[0.00004290935,0.0001067292,0.00006160913,0.00002015364,0.0003754318,0.0000403493,0.00007834718,0.0002571434,4.799625e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003022487,"about_ca_system_score_gemma":0.00001927249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007434068,"about_ca_topic_score_gemma":0.000002607639,"domain_scores_codex":[0.9992172,0.00002928545,0.0003635778,0.0001482294,0.00007342091,0.0001682834],"domain_scores_gemma":[0.9990138,0.0000306772,0.0005958696,0.0002582896,0.00003237995,0.00006894551],"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":[0.00002647385,0.00004061158,0.01499082,0.00001943532,0.00003740528,0.00003915203,0.00004469887,0.0001027677,0.9785692,0.0000667116,0.00002526184,0.006037447],"study_design_scores_gemma":[0.001456519,0.0001536302,0.005046207,0.00009825899,0.00004156089,0.0003353817,0.00007761279,0.0001397241,0.986601,0.003697452,0.002105575,0.0002471005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862067,0.0006181795,0.01265448,0.0002358049,0.0000118319,0.00005297597,0.00006548985,0.000004503068,0.0001500239],"genre_scores_gemma":[0.9941802,0.0004491842,0.005219802,0.00008094241,0.00002431971,0.000002048137,0.000005804947,0.00001361783,0.00002408852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009944613,"threshold_uncertainty_score":0.4352291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084169317556377,"score_gpt":0.2941627985230087,"score_spread":0.2833211053474449,"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."}}