{"id":"W2608189678","doi":"10.1016/j.molliq.2017.04.132","title":"Folic acid–chitosan conjugation: A new drug delivery tool","year":2017,"lang":"en","type":"article","venue":"Journal of Molecular Liquids","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chitosan; Conjugate; Chemistry; Folic acid; Drug delivery; Polymer; Aqueous solution; Nuclear chemistry; Nanoparticle; Drug; van der Waals force; Organic chemistry; Materials science; Nanotechnology; Pharmacology; Molecule","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":[0.0002034369,0.0004521783,0.0002060267,0.0004670582,0.0002329576,0.0003916942,0.0003036932,0.0007657325,0.001268408],"category_scores_gemma":[0.0002061208,0.0002143465,0.0002727055,0.0002289245,0.0002771935,0.0004407247,0.0002570033,0.0004224624,0.0004009983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007394605,"about_ca_system_score_gemma":0.0003027196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400546,"about_ca_topic_score_gemma":0.001533621,"domain_scores_codex":[0.9998727,0.00002040019,0.00001011382,0.00003501117,0.00003895942,0.0000227456],"domain_scores_gemma":[0.9999048,0.00001546648,0.00003196338,0.00001029095,0.00001567716,0.00002182521],"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":[0.00005531163,0.00001353226,0.00004427754,0.00004106552,0.000006662957,0.00007714346,0.00001109102,0.0000614663,0.994156,0.0003260688,0.0001140664,0.005093205],"study_design_scores_gemma":[0.000008610385,0.00007939088,0.0002279639,0.000002994615,0.00001528701,0.000185947,0.000002220929,0.0004999665,0.9949838,0.00002097749,0.003967254,0.000005566062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8728693,0.01297553,0.09627418,0.00151236,0.0004001188,0.0002689185,0.0003369602,0.0009045627,0.0144581],"genre_scores_gemma":[0.9584781,0.002974495,0.0294132,0.0002406421,0.00006176736,0.00005703423,0.0001532909,0.00005913312,0.008562318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001400546,"threshold_uncertainty_score":0.005365133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142724077417815,"score_gpt":0.2500949661909699,"score_spread":0.2386677254167918,"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."}}