{"id":"W2017762621","doi":"10.1016/j.pnmrs.2014.07.001","title":"Recent advances in magic angle spinning solid state NMR of membrane proteins","year":2014,"lang":"en","type":"review","venue":"Progress in Nuclear Magnetic Resonance Spectroscopy","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Solid-state nuclear magnetic resonance; Magic angle spinning; Membrane protein; Membrane; Nuclear magnetic resonance spectroscopy; Chemistry; Structural biology; Materials science; Nanotechnology; Physics; Nuclear magnetic resonance; Biochemistry; Stereochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002802795,0.0006525058,0.002007026,0.0002709153,0.00005833627,0.0000518728,0.0009197647,0.0003236606,0.0007540848],"category_scores_gemma":[0.00006663039,0.0006153445,0.0002293019,0.0008585989,0.0004090247,0.0001603382,0.000236697,0.00101137,0.00003946993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040284,"about_ca_system_score_gemma":0.0001182387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007689276,"about_ca_topic_score_gemma":0.00002746401,"domain_scores_codex":[0.9962705,0.00008182938,0.00143997,0.0009884061,0.0004128236,0.0008064596],"domain_scores_gemma":[0.9978741,0.00007192005,0.000835989,0.001038275,0.00007834805,0.0001013346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003679672,0.0002272908,0.00007470004,0.01184045,0.000004447774,0.00002088472,0.00004914501,0.000006212077,0.0000893826,0.0006751032,0.00003452761,0.986941],"study_design_scores_gemma":[0.0003778022,0.0001836698,0.00001498761,0.01805525,0.00003884069,0.00001317351,0.00001409798,0.0001763632,0.0008044484,0.001400783,0.9783693,0.0005512995],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001266787,0.9919775,0.00004888376,0.00005505049,0.00002395487,0.001350885,0.00006580527,0.0001634234,0.006187836],"genre_scores_gemma":[0.00005238174,0.9704511,0.02802282,0.00001673502,0.00009378449,0.0009211105,0.00003714337,0.0001837019,0.0002212037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9863898,"threshold_uncertainty_score":0.9996298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497123387208859,"score_gpt":0.3390311211437105,"score_spread":0.3240598872716219,"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."}}