{"id":"W2952905753","doi":"10.1002/chin.201420295","title":"ChemInform Abstract: Recent Advances in Magic‐Angle Spinning Solid‐State NMR of Proteins","year":2014,"lang":"en","type":"article","venue":"ChemInform","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Magic angle spinning; Solid-state nuclear magnetic resonance; Solid-state; Spinning; Computational chemistry; Polymer science; Nanotechnology; Physical chemistry; Nuclear magnetic resonance spectroscopy; Nuclear magnetic resonance; Organic chemistry; Polymer chemistry; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001576692,0.001157543,0.0008252815,0.00317722,0.0004793811,0.001646515,0.001410629,0.001794533,0.01777008],"category_scores_gemma":[0.002398325,0.0004154433,0.0004392735,0.003572625,0.0007785076,0.002546507,0.001105673,0.002837295,0.01868711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084283,"about_ca_system_score_gemma":0.001785691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209224,"about_ca_topic_score_gemma":0.002103191,"domain_scores_codex":[0.9994912,0.00005490324,0.00003699771,0.00008004221,0.0002884729,0.00004829624],"domain_scores_gemma":[0.9981383,0.0005214697,0.0001656837,0.00007108692,0.000900042,0.0002035128],"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":[0.00009827373,0.00004662336,0.0001284063,0.00715138,0.00006258555,0.00008699631,0.00003150257,0.0003406599,0.008529454,0.008875672,0.4767048,0.4979436],"study_design_scores_gemma":[0.000007645851,0.0000279248,0.0002337107,0.0005792218,0.00003656573,0.0002090367,0.00001298479,0.0001105805,0.003979834,0.001306016,0.9934754,0.00002107784],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004747916,0.9548823,0.003458575,0.00564067,0.0120295,0.00003880315,0.0004922038,0.0002884617,0.02269476],"genre_scores_gemma":[0.002440149,0.9704023,0.002530218,0.002772331,0.008439128,0.0000268534,0.0009049728,0.00005617028,0.01242791],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01777008,"threshold_uncertainty_score":0.05944687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245927624553379,"score_gpt":0.2859573926836473,"score_spread":0.2734981164381135,"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."}}