{"id":"W4378189382","doi":"10.1016/j.bbamem.2023.184179","title":"Shaping membrane interfaces in lipid vesicles mimicking the cytoplasmic leaflet of myelin through variation of cholesterol and myelin basic protein contents","year":2023,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Biomembranes","topic":"Electron Spin Resonance Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Deutsche Forschungsgemeinschaft","keywords":"Myelin; Vesicle; Membrane; Biophysics; Chemistry; Myelin basic protein; Dynamic light scattering; Proteolipid protein 1; Membrane fluidity; Electron paramagnetic resonance; Cytoplasm; Lipid bilayer; Biochemistry; Biology; Materials science; Nuclear magnetic resonance; Nanoparticle; Nanotechnology; Central nervous system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003433318,0.0003442376,0.0004916129,0.0001782984,0.0001123337,0.00003838881,0.0004316031,0.0001821624,0.000002731367],"category_scores_gemma":[0.0001281911,0.0002753318,0.0001260304,0.0006102788,0.000470417,0.00003384397,0.0003299087,0.0001734751,0.000003793813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001761886,"about_ca_system_score_gemma":0.00005786237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001684755,"about_ca_topic_score_gemma":0.00009439091,"domain_scores_codex":[0.9978919,0.000199944,0.0006277568,0.0005983522,0.0002673666,0.0004146599],"domain_scores_gemma":[0.9988875,0.00007994057,0.0004367653,0.0004480081,0.0001111483,0.0000365754],"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":[0.0002430172,0.00009553896,0.00007613614,0.0003053429,0.0001466971,8.316025e-7,0.001144891,0.00002289878,0.9969752,0.00004846474,0.00004729179,0.0008936967],"study_design_scores_gemma":[0.00100754,0.0003176893,0.01914284,0.0002955896,0.00003709478,0.000003666823,0.000568256,0.0002455276,0.9778873,0.00007160336,0.0001573297,0.0002655551],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965893,0.0006839839,0.00001771152,0.001798259,0.00008659381,0.0006707655,0.00008040263,0.00003431151,0.00003864463],"genre_scores_gemma":[0.9972811,0.001965166,0.0001692406,0.0001666298,0.0001254334,0.00008348902,0.00009366946,0.0000457571,0.00006956049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01908788,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660181706217211,"score_gpt":0.2757622071380035,"score_spread":0.2491603900758314,"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."}}