{"id":"W2021347470","doi":"10.1016/j.biomaterials.2011.11.072","title":"Amphiphilic micelles of poly(2-methyl-2-carboxytrimethylene carbonate-co- -lactide)-graft-poly(ethylene glycol) for anti-cancer drug delivery to solid tumours","year":2011,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canadian Institutes of Health Research; Government of Ontario; Sunnybrook Research Institute","keywords":"Biodistribution; Ethylene glycol; Drug delivery; Drug; Materials science; Micelle; Paclitaxel; Amphiphile; Nanoparticle; PEG ratio; Drug carrier; Pharmacokinetics; Chemistry; Pharmacology; Cancer; Nanotechnology; Organic chemistry; Polymer; Medicine; Biochemistry; Aqueous solution; In vitro; Copolymer","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":[0.0004235796,0.0004330295,0.0002086335,0.000305526,0.0001946774,0.0003238108,0.0001895012,0.0004325931,0.0008051739],"category_scores_gemma":[0.0002716488,0.0002148922,0.0001879692,0.0001570753,0.0001604737,0.0004443799,0.0002676349,0.0004677588,0.0004823556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090414,"about_ca_system_score_gemma":0.0002817825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003599347,"about_ca_topic_score_gemma":0.0006824392,"domain_scores_codex":[0.9998447,0.00003507322,0.00001563237,0.00002097717,0.00004080976,0.00004283806],"domain_scores_gemma":[0.9998834,0.00002230067,0.0000377928,0.000008125795,0.00001697944,0.0000314557],"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":[0.0001293784,0.00002758354,0.00003669031,0.00003958589,0.000005228346,0.00002661636,0.00001286864,0.0001216879,0.9973881,0.000168681,0.00004930652,0.001994259],"study_design_scores_gemma":[0.00006334991,0.0003015182,0.0006122875,0.000009778398,0.00001907723,0.0001307755,0.000006435504,0.001542301,0.9940087,0.00004737681,0.003250008,0.000008383608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.970614,0.008374112,0.01600887,0.00042132,0.0001694122,0.0002025498,0.0001513313,0.0002809719,0.003777502],"genre_scores_gemma":[0.9849638,0.002613847,0.008261428,0.0001239435,0.00005326687,0.0001402592,0.0001577702,0.00005097853,0.003634557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008051739,"threshold_uncertainty_score":0.002693534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156658202000177,"score_gpt":0.286211486476552,"score_spread":0.2546449044565502,"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."}}