{"id":"W2587929901","doi":"10.1021/acs.molpharmaceut.6b01146","title":"Intracellular Delivery of Colloidally Stable Core-Cross-Linked Triblock Copolymer Micelles with Glutathione-Responsive Enhanced Drug Release for Cancer Therapy","year":2017,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Nanocarriers; Micelle; Glutathione; Chemistry; Amphiphile; Copolymer; Ethylene glycol; Biophysics; Drug delivery; Intracellular; PEG ratio; Dynamic light scattering; In vivo; Poloxamer; Cancer cell; Cancer; Aqueous solution; Biochemistry; Nanoparticle; Materials science; Nanotechnology; Organic chemistry; Polymer","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"],"consensus_categories":[],"category_scores_codex":[0.0006921872,0.0004137713,0.0005488291,0.0001138353,0.0005952523,0.0002580745,0.0008929495,0.0001286919,0.0002536036],"category_scores_gemma":[0.0001451884,0.0003760173,0.0001726354,0.000175675,0.0006859545,0.0003414275,0.0001601198,0.0002098635,0.00003270604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305481,"about_ca_system_score_gemma":0.0007159167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003016998,"about_ca_topic_score_gemma":0.00004988116,"domain_scores_codex":[0.9971879,0.0001716786,0.0006057355,0.0006601152,0.0006306691,0.0007438941],"domain_scores_gemma":[0.9967711,0.0002750084,0.000767654,0.000991519,0.0009156814,0.0002790584],"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":[0.006328261,0.0003193622,0.0003255855,0.0001014744,0.0001311449,0.0000908109,0.0005247716,0.005944488,0.9845084,0.00008263274,0.0002588228,0.001384235],"study_design_scores_gemma":[0.007201196,0.0002336202,0.00006323411,0.00009464362,0.0001704498,0.000004502054,0.0001144501,0.005754718,0.9822504,0.00007484365,0.003561056,0.0004769163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874393,0.006139193,0.003467591,0.00034672,0.0005064185,0.001508697,0.0004389233,0.00008148416,0.00007172504],"genre_scores_gemma":[0.994704,0.0008253871,0.002685606,0.0006311027,0.00008160375,0.0002371868,0.00002005338,0.00009569048,0.0007193458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007264775,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0313196868561578,"score_gpt":0.3324449331854518,"score_spread":0.301125246329294,"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."}}