{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002294066,0.0004373717,0.0006254647,0.0002196049,0.0003203077,0.0003209706,0.0009735029,0.0001926283,0.002179449],"category_scores_gemma":[0.000417512,0.0003243984,0.0001797485,0.0002912925,0.0003985156,0.0002212766,0.0002036835,0.00004376249,0.000158289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008071155,"about_ca_system_score_gemma":0.0002507628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008821946,"about_ca_topic_score_gemma":0.00002004893,"domain_scores_codex":[0.9964706,0.0005717278,0.0008945926,0.0006203246,0.0007016628,0.0007410743],"domain_scores_gemma":[0.9974748,0.0003895439,0.0005813699,0.00122742,0.0001455571,0.0001812566],"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":[0.0004035381,0.0001009767,0.0001227548,0.0000683272,0.00002536412,0.0000159948,0.0002174869,0.0000880237,0.9986504,0.000112301,0.00009724013,0.00009756212],"study_design_scores_gemma":[0.0009901555,0.00009390644,0.0009683368,0.00009316307,0.00008164693,0.000009826575,0.0001482204,0.0002391821,0.9964933,0.00003896663,0.0004712759,0.0003720442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911485,0.00004662175,0.00005268372,0.0001603418,0.007434258,0.0006553988,0.0001951564,0.0001941629,0.0001128951],"genre_scores_gemma":[0.9941541,0.000003617998,0.004953769,0.0002667483,0.0004670587,0.00003515024,0.00002191664,0.00008478983,0.0000128453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006967199,"threshold_uncertainty_score":0.9999208,"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."}}