{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895469,0.0001676531,0.0002663516,0.00005801765,0.00009165365,0.00003026126,0.0003251066,0.0001220243,0.00006042424],"category_scores_gemma":[0.0001478257,0.0001265031,0.0001795107,0.0003509374,0.0001780615,0.00008252173,0.0002409793,0.0004042521,0.0001878371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144513,"about_ca_system_score_gemma":0.0003292041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385858,"about_ca_topic_score_gemma":0.00003868471,"domain_scores_codex":[0.9986497,0.00003882772,0.0003673804,0.0002294713,0.0004042696,0.0003103465],"domain_scores_gemma":[0.9992505,0.00006402197,0.0001497104,0.0003388257,0.0001630428,0.00003389246],"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":[0.0001467381,0.00006249471,0.009683047,0.000346778,0.00002376994,0.00001150878,0.0006286671,5.468908e-7,0.9853585,0.0002392794,0.003039596,0.0004590522],"study_design_scores_gemma":[0.001295151,0.0001067497,0.002044412,0.00009331761,0.00002873038,0.0000142986,0.0001805844,0.002618859,0.9020318,0.00003154125,0.09143224,0.0001223576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827456,0.0002751461,0.0003498416,0.001998398,0.00009850177,0.0005726962,0.00005950547,0.00003962324,0.01386065],"genre_scores_gemma":[0.943148,0.000002838531,0.0003019274,0.05626549,0.0001466203,0.00001065748,0.00001841768,0.00002979146,0.00007623775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08839264,"threshold_uncertainty_score":0.5158645,"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."}}