{"id":"W4400348797","doi":"10.1021/acsnano.3c12981","title":"Quantitative Visualization of Lipid Nanoparticle Fusion as a Function of Formulation and Process Parameters","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; iCo Therapeutics (Canada); University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada; NanoMedicines Innovation Network; Mitacs; Canadian Institutes of Health Research; University of British Columbia; Canada Foundation for Innovation","keywords":"Förster resonance energy transfer; Nanoparticle; Drug delivery; Fusion; Chemistry; Nanotechnology; Biophysics; Biological system; Materials science; Fluorescence; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003992144,0.0004872179,0.0002267623,0.0002968965,0.0002293284,0.0003027219,0.0003047457,0.0003812174,0.0009098124],"category_scores_gemma":[0.00037704,0.0001262961,0.0002031482,0.0003744472,0.0003315061,0.0004230629,0.0002763467,0.0006902767,0.0002070041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004397451,"about_ca_system_score_gemma":0.0002393603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008820439,"about_ca_topic_score_gemma":0.0008269138,"domain_scores_codex":[0.9998059,0.00003132006,0.00001504181,0.00005709034,0.00005236347,0.00003835951],"domain_scores_gemma":[0.9997159,0.0001333738,0.00006490976,0.00001947787,0.00004896232,0.00001736947],"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":[0.00004279605,0.00001420719,0.0001457426,0.00002475084,0.000003107358,0.00002259615,0.00004170497,0.0001962702,0.9983402,0.00007564639,0.00002629871,0.001066605],"study_design_scores_gemma":[0.000002494912,0.00004635074,0.001123269,0.00000254776,0.000003903926,0.00003205788,0.00002549229,0.003388559,0.9951184,0.00003384602,0.0002182411,0.000004815297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743255,0.0007716001,0.022909,0.0001027956,0.00001544544,0.00004424599,0.0004318037,0.0002483425,0.00115135],"genre_scores_gemma":[0.977187,0.001150759,0.019591,0.00006020692,0.000007474932,0.0001694748,0.0003983889,0.00008115608,0.001354489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009098124,"threshold_uncertainty_score":0.003190637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601877357089067,"score_gpt":0.3010064719185016,"score_spread":0.284987698347611,"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."}}