{"id":"W2589304115","doi":"10.1016/j.jconrel.2017.02.026","title":"Aptamer-based liposomes improve specific drug loading and release","year":2017,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Aptamer; Liposome; Doxorubicin; Nanocarriers; HeLa; Chemistry; Drug; Drug carrier; Controlled release; Drug delivery; Targeted drug delivery; Pharmacology; Biophysics; Biochemistry; In vitro; Biology; Molecular biology; Chemotherapy","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":[],"consensus_categories":[],"category_scores_codex":[0.0004730396,0.0002027965,0.0005197263,0.0001131682,0.0002912276,0.0001454995,0.000270084,0.0001219783,0.000003041828],"category_scores_gemma":[0.000611008,0.0001457645,0.0003744712,0.00003117328,0.0002038445,0.00001677316,0.00006109691,0.0002204882,0.000001241677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001873647,"about_ca_system_score_gemma":0.0001000416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005967942,"about_ca_topic_score_gemma":0.000004251403,"domain_scores_codex":[0.9987693,0.00008474258,0.0004885833,0.0002370874,0.0002060152,0.0002142392],"domain_scores_gemma":[0.9979007,0.00004554549,0.001045853,0.0004980781,0.0003076262,0.0002021601],"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":[0.003876172,0.0001240092,0.0005390325,0.00001596494,0.0002462754,0.0001133578,0.000009981119,0.00001552168,0.9686022,0.00003291634,0.003086525,0.02333802],"study_design_scores_gemma":[0.01665751,0.0008799956,0.0007057942,0.0001497099,0.0003536369,0.0001164354,0.00008025279,0.0008847906,0.9470252,0.0003148406,0.03239074,0.0004411137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909426,0.004508624,0.002097874,0.001570413,0.000230479,0.0001983041,0.000009234968,0.00001306242,0.0004294109],"genre_scores_gemma":[0.9932922,0.001685306,0.003398556,0.0002588994,0.0006480198,0.000002562314,0.000003462864,0.00002085295,0.0006902114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02930421,"threshold_uncertainty_score":0.5944105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006815608052308523,"score_gpt":0.2580925874968098,"score_spread":0.2512769794445013,"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."}}