{"id":"W3044421849","doi":"10.1016/j.ejpb.2020.07.021","title":"Mannosylated glycoliposomes for the delivery of a peptide kappa opioid receptor antagonist to the brain","year":2020,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Université du Québec à Montréal; Laurentian University; Université de Montréal; Montreal Clinical Research Institute; Health Sciences North","funders":"Canadian Institutes of Health Research","keywords":"Pharmacology; Blood–brain barrier; Liposome; In vivo; Ex vivo; Drug delivery; Chemistry; Central nervous system; In vitro; Medicine; Biology; Biochemistry; Internal medicine","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":[0.00009499078,0.0002693004,0.0001279272,0.000127756,0.00009321871,0.0001559551,0.0001316482,0.0002052778,0.0003749226],"category_scores_gemma":[0.00009293779,0.00009280689,0.0001364279,0.00007111394,0.0001202653,0.0002218039,0.0001675626,0.0002821567,0.0001577147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003587231,"about_ca_system_score_gemma":0.0002338221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007210504,"about_ca_topic_score_gemma":0.001294324,"domain_scores_codex":[0.9999425,0.00001049985,0.000006996688,0.00001393133,0.00001451961,0.00001141343],"domain_scores_gemma":[0.9999675,0.000005178461,0.00001381496,0.000002741872,0.000005428725,0.000005266756],"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":[0.00003009023,0.000007027586,0.00002636588,0.00002431613,0.000002437177,0.00001347564,0.000005773837,0.00005314927,0.998785,0.00007607054,0.00001322069,0.0009631811],"study_design_scores_gemma":[0.000006543958,0.0001474045,0.0003275746,0.00000357289,0.00001063534,0.00006459899,0.000004971017,0.0004629671,0.9977171,0.00001422816,0.001236958,0.000003474601],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784062,0.002063723,0.01769265,0.000119004,0.00002676446,0.0001592134,0.0002754442,0.00008665609,0.001170393],"genre_scores_gemma":[0.979017,0.001823624,0.01651979,0.00007269526,0.000006504231,0.00009006421,0.0003136351,0.00002665364,0.002129951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007210504,"threshold_uncertainty_score":0.002602756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04151165912076394,"score_gpt":0.3034461068274121,"score_spread":0.2619344477066482,"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."}}