{"id":"W4406633352","doi":"10.1016/j.sbi.2024.102976","title":"Solution NMR goes big: Atomic resolution studies of protein components of molecular machines and phase-separated condensates","year":2025,"lang":"en","type":"review","venue":"Current Opinion in Structural Biology","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Hospital for Sick Children; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Phase (matter); Resolution (logic); Chemistry; Crystallography; Physics; Chemical physics; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306904,0.001019678,0.001216675,0.002091492,0.0003612161,0.001297918,0.00121545,0.002008518,0.002431732],"category_scores_gemma":[0.001014972,0.0003265519,0.000437844,0.001923122,0.00132467,0.002965983,0.001186826,0.003063577,0.00294694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009264413,"about_ca_system_score_gemma":0.001108131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009750498,"about_ca_topic_score_gemma":0.001389009,"domain_scores_codex":[0.999762,0.0000444531,0.00002089108,0.00004921537,0.00009426629,0.00002921696],"domain_scores_gemma":[0.9994674,0.0002366728,0.00005262615,0.00001870707,0.0001596217,0.00006487898],"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":[0.00007997534,0.00004813157,0.0001362717,0.01160588,0.00007495425,0.0002107063,0.0001039405,0.0002977174,0.003875256,0.01308175,0.05132737,0.919158],"study_design_scores_gemma":[0.00001013713,0.00005222433,0.0003683084,0.001869952,0.00004100245,0.0006142735,0.00006882005,0.0000646626,0.0005216079,0.004637302,0.9917303,0.00002148751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00005223627,0.9978349,0.0001735601,0.0007413244,0.0004940549,0.000003002162,0.000009423189,0.000006860309,0.0006847329],"genre_scores_gemma":[0.0003753573,0.9978695,0.0001874609,0.000525058,0.0005465258,0.000004414056,0.00002191572,0.000002130924,0.0004676353],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002431732,"threshold_uncertainty_score":0.008134902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1039443957492553,"score_gpt":0.4379790092558735,"score_spread":0.3340346135066182,"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."}}