{"id":"W1532160766","doi":"10.2147/ijn.s38737","title":"The combined use of paclitaxel-loaded nanoparticles with a low-molecular-weight copolymer inhibitor of P-glycoprotein to overcome drug resistance","year":2013,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Cytotoxicity; Paclitaxel; Ethylene glycol; Micelle; P-glycoprotein; Copolymer; Biophysics; Chemistry; Multiple drug resistance; In vitro; Materials science; Pharmacology; Biochemistry; Polymer; Organic chemistry; Medicine; Biology; Chemotherapy","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":[0.0001249436,0.000498049,0.0003861702,0.0002568332,0.00008270077,0.0003077762,0.0003067571,0.0004500658,0.0005637777],"category_scores_gemma":[0.0001571721,0.0002001985,0.0002544153,0.0001635614,0.0001846276,0.0004272434,0.0001995542,0.000407922,0.000314779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302878,"about_ca_system_score_gemma":0.0001814925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002877139,"about_ca_topic_score_gemma":0.0005085446,"domain_scores_codex":[0.9998834,0.00001466242,0.00001242164,0.00003682226,0.00002958785,0.00002317991],"domain_scores_gemma":[0.9999242,0.0000179395,0.00001725615,0.00001304779,0.00001229906,0.00001521017],"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":[0.00007896905,0.0000499801,0.00007464733,0.0000336205,0.000009267804,0.00003785436,0.000008706762,0.0001828073,0.9957371,0.0001267286,0.00003573962,0.003624626],"study_design_scores_gemma":[0.00002401104,0.0002565171,0.0003054662,0.000001832803,0.00001947294,0.0001099781,0.000002722443,0.001205636,0.9963649,0.00002356336,0.001682147,0.000003792491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736182,0.003042966,0.01906907,0.0002317943,0.0001182017,0.0002171343,0.0001271609,0.0002641069,0.003311409],"genre_scores_gemma":[0.9785361,0.001180691,0.0150451,0.0001132791,0.00004441767,0.0001423346,0.0001596932,0.00006308161,0.004715282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005637777,"threshold_uncertainty_score":0.002396405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005922328742773806,"score_gpt":0.2274094035996984,"score_spread":0.2214870748569246,"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."}}