{"id":"W2738224943","doi":"10.1016/j.jsps.2017.07.008","title":"Development, stability and in vitro delivery profile of new loratadine-loaded nanoparticles","year":2017,"lang":"en","type":"article","venue":"Saudi Pharmaceutical Journal","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Amapá","keywords":"Loratadine; Zeta potential; Bioavailability; Chromatography; Nanoparticle; Chemistry; Particle size; Materials science; Dynamic light scattering; Polyvinyl alcohol; Chemical engineering; Pharmacology; Nanotechnology; Organic chemistry; Medicine","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002225605,0.0002732955,0.0005126401,0.000130631,0.0006855653,0.000132683,0.0005530751,0.0002736484,0.001116555],"category_scores_gemma":[0.0003112236,0.0002516411,0.0001023089,0.0001108169,0.0005915958,0.0005895087,0.0002931216,0.001306476,0.00008335344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001185221,"about_ca_system_score_gemma":0.0004662468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003273976,"about_ca_topic_score_gemma":0.00003082025,"domain_scores_codex":[0.9972357,0.0004958374,0.0009177779,0.0003556566,0.0003209985,0.0006740764],"domain_scores_gemma":[0.9980285,0.0002683668,0.0004568375,0.0002923016,0.0001516685,0.0008022922],"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":[0.003126391,0.0004656776,0.03244552,0.0001674148,0.0001726642,0.0001578604,0.001411287,0.00001536371,0.8922135,0.00008139397,0.001471717,0.06827123],"study_design_scores_gemma":[0.004304882,0.00004659645,0.0130983,0.00005876171,0.00008948157,0.0001803466,0.0003015406,0.001309298,0.9288152,0.0002776199,0.0512305,0.0002874357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939429,0.00166075,0.00005784971,0.001104475,0.0009984816,0.00036044,0.00003636546,0.00002937617,0.001809384],"genre_scores_gemma":[0.9974701,0.0003635149,0.001122236,0.0004859703,0.0002924545,0.00001038286,0.000004980644,0.00001887591,0.0002314967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0679838,"threshold_uncertainty_score":0.9999936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2134165718381118,"score_gpt":0.4343514523454505,"score_spread":0.2209348805073388,"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."}}