{"id":"W4320717336","doi":"10.1016/j.ijpx.2023.100172","title":"Aptamer-based nanotrains and nanoflowers as quinine delivery systems","year":2023,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics X","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conseil Régional Aquitaine; Université de Bordeaux; University of Hong Kong; York University","keywords":"Aptamer; Quinine; Drug delivery; Plasmodium falciparum; Chemistry; Nanotechnology; Combinatorial chemistry; Biophysics; Materials science; Biology; Molecular biology; Malaria","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003085861,0.0001037484,0.00012331,0.000185052,0.00003535185,0.00004167528,0.0002073493,0.00006882622,0.000002841701],"category_scores_gemma":[0.00008655088,0.00008926666,0.0001046847,0.0001046041,0.00008129964,0.000007525231,0.00005973157,0.0001024379,0.000004063685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002366197,"about_ca_system_score_gemma":0.00008075362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004701982,"about_ca_topic_score_gemma":0.000001506378,"domain_scores_codex":[0.9991232,0.00004143573,0.0002805628,0.0001282848,0.0003026545,0.000123846],"domain_scores_gemma":[0.9991626,0.00002586675,0.0002168819,0.00007969046,0.0004311176,0.00008383607],"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":[0.0001815595,0.00004092693,0.0006148113,0.000007241989,0.0002748243,0.0001088707,0.00001863795,0.0005775586,0.9891648,0.00004161661,0.001827488,0.007141692],"study_design_scores_gemma":[0.0008740887,0.0002290632,0.0001299027,0.00006283267,0.00006716888,0.0002449238,0.0001369114,0.00452101,0.8674396,0.00005127391,0.1260854,0.0001578595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957666,0.0006393911,0.001519993,0.0009513872,0.0007949221,0.00005235439,0.00002934292,0.00002401329,0.0002219711],"genre_scores_gemma":[0.9959487,0.001820098,0.000902221,0.0005796467,0.0004176391,0.00000105271,0.00003322614,0.00001331522,0.0002841477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1242579,"threshold_uncertainty_score":0.3640189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441176089518194,"score_gpt":0.3575368465574474,"score_spread":0.3331250856622655,"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."}}