{"id":"W2053371370","doi":"10.1016/j.ejpb.2009.01.007","title":"Functionalized nanospheres loaded with anti-angiogenic drugs: Cellular uptake and angiosuppressive efficacy","year":2009,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Chemistry; Biophysics; In vivo; In vitro; Pharmacology; Drug delivery; Endothelium; Biochemistry; Organic chemistry; Medicine; Biology","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":[0.0005260226,0.0003147559,0.0003018274,0.0000819987,0.0001666132,0.00008774265,0.000225264,0.00006667384,0.00006177708],"category_scores_gemma":[0.0000209188,0.0002403439,0.0001792612,0.0001468191,0.0001950762,0.00001836168,0.00008781776,0.0002145654,0.000003708122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001273392,"about_ca_system_score_gemma":0.0000719075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.42443e-7,"about_ca_topic_score_gemma":1.146608e-7,"domain_scores_codex":[0.998382,0.0002040441,0.0004843824,0.0003144296,0.0002854694,0.0003296947],"domain_scores_gemma":[0.998812,0.00002405334,0.0003961609,0.0001768704,0.0002523373,0.0003386282],"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":[0.0008122984,0.0001550132,0.0008603603,0.00002707411,0.0004198308,0.0001661584,0.0001539699,0.0001277046,0.9503982,0.00003758246,0.001274555,0.04556726],"study_design_scores_gemma":[0.006107534,0.001088093,0.006871614,0.00007838773,0.0005915679,0.000494474,0.0001809737,0.0001491883,0.5982534,0.00001063061,0.3857196,0.0004545446],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532772,0.04432158,0.0008579564,0.0004705797,0.0002579206,0.0001612314,0.00002433161,0.00001133361,0.0006179134],"genre_scores_gemma":[0.9868698,0.009357325,0.001207943,0.00148199,0.0007328817,6.217593e-7,0.00001551096,0.00004465854,0.0002892983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.384445,"threshold_uncertainty_score":0.980094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02139783561983096,"score_gpt":0.282407839536973,"score_spread":0.2610100039171421,"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."}}