{"id":"W2792803144","doi":"10.3389/fphar.2018.00202","title":"Poly(Ethylene Glycol)–Polylactide Micelles for Cancer Therapy","year":2018,"lang":"en","type":"review","venue":"Frontiers in Pharmacology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":150,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Nanocarriers; Micelle; Ethylene glycol; Drug delivery; PEG ratio; Nanotechnology; Chemistry; Cancer; Materials science; Medicine; Organic chemistry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0007969878,0.0005953746,0.001931004,0.0004600362,0.0001443229,0.00004870652,0.000988395,0.0004760758,0.001310537],"category_scores_gemma":[0.00003672074,0.0005241549,0.0003960948,0.0004226811,0.0004005233,0.0001642658,0.0001364306,0.0003441402,0.000207291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006546837,"about_ca_system_score_gemma":0.0009233321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001413887,"about_ca_topic_score_gemma":0.00003394171,"domain_scores_codex":[0.9963202,0.0006021053,0.0009013957,0.0009561251,0.0002119544,0.001008179],"domain_scores_gemma":[0.9983346,0.0004229955,0.0005739045,0.0003888323,0.0001046148,0.000175091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004744168,0.0002263813,0.00001531026,0.002338032,0.0001963102,0.0000310861,0.0001055384,0.000003046514,0.009221714,0.000006296834,0.3512028,0.636179],"study_design_scores_gemma":[0.001505367,0.000154776,4.860707e-7,0.000608118,0.0004500735,0.000007396235,0.00002066889,0.00006253037,0.05332461,0.00009551556,0.9432564,0.0005140133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00113448,0.9737564,0.0005179807,0.0001634292,0.02162819,0.002217955,0.0004129416,0.0001011567,0.00006742257],"genre_scores_gemma":[0.00002300493,0.9885077,0.005298074,0.0007327892,0.00172808,0.002633784,0.00003832796,0.0001249322,0.0009133114],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6356651,"threshold_uncertainty_score":0.999721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04320012719178841,"score_gpt":0.3640624061917386,"score_spread":0.3208622789999502,"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."}}