{"id":"W1992262594","doi":"10.1016/j.biomaterials.2010.07.039","title":"Tailoring the efficacy of nimodipine drug delivery using nanocarriers based on A2B miktoarm star polymers","year":2010,"lang":"en","type":"article","venue":"Biomaterials","topic":"Supramolecular Self-Assembly in Materials","field":"Materials Science","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Polymer Source (Canada); McGill University","funders":"National Institute for Materials Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Micelle; Nanocarriers; Materials science; Polymer; Drug delivery; Polycaprolactone; Polymerization; Chemical engineering; Aqueous solution; Chemistry; Organic chemistry; Nanotechnology; Composite material","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":[0.000249368,0.0003120176,0.000214915,0.0001711391,0.0001305434,0.0003773338,0.0001556442,0.0002558339,0.000510522],"category_scores_gemma":[0.0004155896,0.0001196585,0.0001199639,0.0001270342,0.0001792548,0.0003599933,0.0001533954,0.000344443,0.0002010264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702113,"about_ca_system_score_gemma":0.0002372873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004440423,"about_ca_topic_score_gemma":0.0006368659,"domain_scores_codex":[0.9998932,0.00001708851,0.000009615579,0.00002341878,0.00002438945,0.00003223751],"domain_scores_gemma":[0.9998714,0.00004175634,0.00003863429,0.00001080539,0.00001285682,0.0000245078],"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":[0.0001423553,0.00002562954,0.0000616764,0.00001957508,0.0000032139,0.00001547234,0.00001167054,0.0001280715,0.9967695,0.0001406606,0.00003815129,0.002644068],"study_design_scores_gemma":[0.00001128287,0.00009073215,0.0002076052,0.000001146995,0.000004497064,0.0000103076,0.000002330742,0.0009801743,0.9983443,0.00001387368,0.000330793,0.000003000116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937636,0.0008790551,0.003619621,0.00009116703,0.00003283835,0.00003397945,0.00005531738,0.00008768668,0.001436776],"genre_scores_gemma":[0.9967709,0.0003691439,0.002167963,0.00002854974,0.00001115855,0.00001787872,0.0000218493,0.0000182446,0.0005942014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000510522,"threshold_uncertainty_score":0.002686024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648318518541933,"score_gpt":0.2588352720676607,"score_spread":0.2423520868822414,"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."}}