{"id":"W4407745749","doi":"10.1002/pro.70050","title":"Torsional twist of the <scp>SARS</scp> ‐ <scp>CoV</scp> and <scp>SARS</scp> ‐ <scp>CoV</scp> ‐2 <scp>SUD</scp> ‐N and <scp>SUD</scp> ‐M domains","year":2025,"lang":"en","type":"article","venue":"Protein Science","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"National Institute of Allergy and Infectious Diseases; Chan Zuckerberg Initiative; Michigan Economic Development Corporation; University of Toronto; National Institute of General Medical Sciences; Michigan Technology Tri-Corridor; Roddenberry Foundation; U.S. Department of Energy","keywords":"Coronavirus; Disulfide bond; Biology; Chemistry; Virology; Biochemistry; Coronavirus disease 2019 (COVID-19); Medicine","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":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.01011613,0.003389026,0.004102513,0.00370848,0.004265762,0.002169739,0.007195835,0.00207353,0.00001529634],"category_scores_gemma":[0.0667823,0.002853988,0.001468136,0.0120058,0.01155712,0.002891332,0.00606648,0.004770162,0.0005528571],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549098,"about_ca_system_score_gemma":0.007583376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606803,"about_ca_topic_score_gemma":0.0004682422,"domain_scores_codex":[0.9712685,0.001599512,0.00400364,0.006538665,0.009242033,0.007347604],"domain_scores_gemma":[0.9709179,0.01604798,0.002372631,0.005622792,0.003117131,0.001921522],"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":[0.00003535264,0.00251921,0.1253897,0.003132817,0.0008515471,0.000765451,0.0121125,0.00003239351,0.7549183,0.009267829,0.08672269,0.004252184],"study_design_scores_gemma":[0.006341044,0.001313064,0.04166774,0.001892287,0.0005481833,0.0006153042,0.008518063,0.002015735,0.4868616,0.006759736,0.4432699,0.0001974036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9299398,0.0107507,0.001370814,0.0006879583,0.002130042,0.00845046,0.0004533944,0.0008687182,0.04534812],"genre_scores_gemma":[0.9466119,0.0008081808,0.004929274,0.01841504,0.001767056,0.002240173,0.00009633373,0.00064445,0.02448756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3565472,"threshold_uncertainty_score":0.999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618008415326996,"score_gpt":0.3192115223850329,"score_spread":0.293031438231763,"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."}}