{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001483451,0.0002772091,0.0001493716,0.0001390609,0.00008012062,0.0001541402,0.0001236789,0.0002310984,0.0005394231],"category_scores_gemma":[0.0001150032,0.0001215214,0.0001520059,0.00008357514,0.0001268027,0.0002338066,0.0001519982,0.0002887044,0.0002792447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002371957,"about_ca_system_score_gemma":0.0002276764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002948714,"about_ca_topic_score_gemma":0.0004112167,"domain_scores_codex":[0.9999467,0.00001078942,0.000005153961,0.00001104711,0.00001678105,0.000009488666],"domain_scores_gemma":[0.9999586,0.00000504892,0.00001402931,0.000003772436,0.000008657348,0.000009765237],"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":[0.00002000832,0.00001051818,0.00003234935,0.00002070682,0.000002027967,0.00001139299,0.000006203166,0.0001101413,0.9980566,0.0001258826,0.00001754545,0.001586622],"study_design_scores_gemma":[0.00001695203,0.0001627498,0.0002297139,0.000001904043,0.00000796704,0.00006325446,0.000002949965,0.001879778,0.9960241,0.00003547949,0.001572244,0.000002827235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755661,0.003488539,0.01877422,0.0002234978,0.00004845456,0.00009085368,0.00008482218,0.0001552244,0.001568243],"genre_scores_gemma":[0.9856488,0.001124623,0.01145079,0.00005391362,0.00001717331,0.0000554219,0.00007909025,0.00002123389,0.00154903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005394231,"threshold_uncertainty_score":0.001804531,"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."}}