{"id":"W2937725836","doi":"10.1016/j.ssnmr.2019.04.003","title":"A biradical-tagged phospholipid as a polarizing agent for solid-state MAS Dynamic Nuclear Polarization NMR of membrane proteins","year":2019,"lang":"en","type":"article","venue":"Solid State Nuclear Magnetic Resonance","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; North Carolina State University; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Chemistry; Solid-state nuclear magnetic resonance; Lipid bilayer; Phospholipid; Electron paramagnetic resonance; Membrane; Nuclear magnetic resonance spectroscopy; Analytical Chemistry (journal); Nuclear magnetic resonance; Organic chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001845331,0.0003915127,0.0005463613,0.0001019656,0.0002351099,0.00007830816,0.0005707212,0.0001938915,0.001285778],"category_scores_gemma":[0.00009663834,0.0004141415,0.0002191127,0.00034794,0.0002042467,0.0001923869,0.0001759534,0.0003876447,0.0002078918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014987,"about_ca_system_score_gemma":0.00008830755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000138495,"about_ca_topic_score_gemma":0.00001317381,"domain_scores_codex":[0.9972969,0.00003226473,0.000769857,0.0007619435,0.0004307438,0.0007083005],"domain_scores_gemma":[0.9982128,0.00007030205,0.0004350489,0.0009282397,0.0001823163,0.0001712514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004558939,0.0002674671,0.00009201801,0.0006220161,0.00002827129,0.000006755402,0.0009515437,0.0003157456,0.9517948,0.002692007,0.000218388,0.04255507],"study_design_scores_gemma":[0.004337018,0.001248251,0.001412538,0.0009479736,0.000110172,0.00005056386,0.000558639,0.1159719,0.1463542,0.01148794,0.7159525,0.001568281],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986356,0.00130734,0.002736028,0.0007079494,0.00006153063,0.002339598,0.0007090652,0.0006068536,0.005175604],"genre_scores_gemma":[0.9571965,0.001308806,0.02867312,0.0004689984,0.00004951436,0.0002081949,0.00009059007,0.0003105826,0.01169368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8054406,"threshold_uncertainty_score":0.999831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007243894673404211,"score_gpt":0.2603519617723004,"score_spread":0.2531080670988962,"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."}}