{"id":"W4327547059","doi":"10.1117/12.2657450","title":"Single-molecule, high-speed microscopy of DNA, RNA and lipid nanoparticle interactions to understand and advance therapeutics (Conference Presentation)","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nanotechnology; Molecule; Nucleic acid; DNA; Microscopy; RNA; Biophysics; Physics; Computational biology; Materials science; Biology; Optics; Genetics; Gene; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00005424631,0.0001234956,0.0001192547,0.00006014868,0.00006479435,0.00003651065,0.00009382116,0.00005225748,0.000009191781],"category_scores_gemma":[0.00003755818,0.0001214268,0.00001858609,0.0001765738,0.0001593008,0.0000177466,0.0001431864,0.00004972551,0.000003180887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246956,"about_ca_system_score_gemma":0.00002211818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001736528,"about_ca_topic_score_gemma":0.00007365829,"domain_scores_codex":[0.9992366,0.00002652755,0.0001778985,0.0002984623,0.00007197148,0.0001885545],"domain_scores_gemma":[0.9995283,0.00002321316,0.00005839811,0.000214992,0.0001042099,0.00007089847],"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":[0.00007519689,0.00003294602,0.000538771,0.00001525846,0.00001673056,7.204922e-7,0.0001885183,0.00001300138,0.9969715,0.0003216057,0.0002209257,0.001604817],"study_design_scores_gemma":[0.0002381722,0.0003091799,0.000805424,0.00002558021,0.0000105246,0.000004042233,0.000500347,0.0001077787,0.9959869,0.0003969522,0.001480864,0.0001342682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256679,0.0001058328,0.0731705,0.0005239596,0.00005621786,0.0002307477,0.00002000418,0.00004714746,0.0001776491],"genre_scores_gemma":[0.9692305,0.0003354267,0.02950898,0.0002547403,0.00002303018,0.000008060682,0.00002799933,0.00001936913,0.0005918657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04366152,"threshold_uncertainty_score":0.4951643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743587703656647,"score_gpt":0.3273460346537527,"score_spread":0.2999101576171862,"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."}}