{"id":"W3111460989","doi":"10.1016/j.chom.2020.11.008","title":"FRETing over SARS-CoV-2: Conformational Dynamics of the Spike Glycoprotein","year":2020,"lang":"en","type":"article","venue":"Cell Host & Microbe","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Spike (software development); Glycoprotein; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Dynamics (music); Coronavirus disease 2019 (COVID-19); Spike Protein; 2019-20 coronavirus outbreak; Computational biology; Virology; Genetics; Outbreak; Computer science; Infectious disease (medical specialty); Disease","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002350809,0.0002583934,0.0003023997,0.0001334229,0.0003804505,0.0004217059,0.0003797587,0.0003421359,0.002425418],"category_scores_gemma":[0.0004938916,0.0001291717,0.0002568474,0.0002080703,0.000279988,0.0005732507,0.0002805358,0.0008230221,0.0003058206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009752561,"about_ca_system_score_gemma":0.0003993929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171344,"about_ca_topic_score_gemma":0.004046359,"domain_scores_codex":[0.9998407,0.00001831301,0.000004791734,0.0000407817,0.00004239587,0.00005292595],"domain_scores_gemma":[0.9998956,0.00003778872,0.00001679167,0.00001354749,0.0000179881,0.00001833082],"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":[0.0004512554,0.0001044539,0.001531915,0.00006007868,0.00003934435,0.0002041511,0.000269065,0.003646069,0.9842794,0.002810806,0.0006856324,0.005917814],"study_design_scores_gemma":[0.00004258379,0.0003695454,0.01011647,0.00001520757,0.00003364462,0.0003114598,0.0004188199,0.05004885,0.9337435,0.000912091,0.003933162,0.00005461878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940148,0.0002143131,0.003304226,0.0001513236,0.00002396151,0.000006258487,0.0001676326,0.00004163872,0.002075937],"genre_scores_gemma":[0.9965668,0.0001692673,0.001320336,0.00005527696,0.000005871822,0.000006210556,0.0003236281,0.00002995673,0.001522647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003171344,"threshold_uncertainty_score":0.008113861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02421295020312113,"score_gpt":0.2948679929222733,"score_spread":0.2706550427191521,"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."}}