{"id":"W4387370064","doi":"10.21769/bioprotoc.4838","title":"Fluorescence Resonance Energy Transfer to Detect Plasma Membrane Perturbations in Giant Plasma Membrane Vesicles","year":2023,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Förster resonance energy transfer; Membrane; Vesicle; Biophysics; Chemistry; Liposome; Fluorescence; Peptide; Phospholipid; Membrane biophysics; Biological membrane; Biochemistry; Biology","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":[0.0001955235,0.0003586369,0.0002965254,0.0002125711,0.0001420179,0.00005092592,0.0004672123,0.0003055777,0.000108646],"category_scores_gemma":[0.00007516699,0.0003155003,0.0001474624,0.0006978784,0.00009895227,0.00001446484,0.0001192008,0.0001556162,0.00007275138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003440764,"about_ca_system_score_gemma":0.0001576083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000114944,"about_ca_topic_score_gemma":0.0006654831,"domain_scores_codex":[0.9977447,0.0001028801,0.0004615255,0.0007691584,0.0003109325,0.0006108527],"domain_scores_gemma":[0.9990416,0.0000337466,0.00003541556,0.0006012763,0.00007866776,0.0002092849],"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":[0.0005923763,0.00004120421,0.0001018073,0.00008306986,0.00001245272,0.00003304848,0.00007842467,0.00007085533,0.9738682,0.00009745546,0.001053728,0.02396739],"study_design_scores_gemma":[0.001698841,0.0002890092,0.00274982,0.00005526725,0.000009741899,0.00001623708,0.00003494264,0.0001501089,0.7772498,0.000007968621,0.2173967,0.0003415509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.7844115,0.00000786751,0.0001273489,0.0008440187,0.000320012,0.2128856,0.0001733812,0.0001957068,0.001034573],"genre_scores_gemma":[0.3405039,0.00001457642,0.0008224781,0.0003316912,0.0005769153,0.6558445,0.0001040863,0.00008036188,0.001721435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4439076,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01604817204181946,"score_gpt":0.2725804150060592,"score_spread":0.2565322429642398,"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."}}