{"id":"W4255864680","doi":"10.1002/ange.200903112","title":"Biomimetic Nanocarrier for Direct Cytosolic Drug Delivery","year":2009,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Nanocarriers; Cytosol; Chemistry; Molecular biology; Computational biology; Drug delivery; Biochemistry; Biology; Organic chemistry","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":[0.0001379321,0.0001897137,0.000198797,0.00004734341,0.0001004566,0.00002328759,0.0001490678,0.0001339732,0.000002369379],"category_scores_gemma":[0.00005817097,0.000164277,0.000211349,0.0001238153,0.00006443735,0.000004352276,0.00003292653,0.00004910314,0.000002513038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001880413,"about_ca_system_score_gemma":0.00003416816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006247389,"about_ca_topic_score_gemma":0.00001094019,"domain_scores_codex":[0.9990198,0.00001418783,0.0001733476,0.0003911114,0.0000898248,0.0003117076],"domain_scores_gemma":[0.9993675,0.00001344417,0.00007275567,0.0003515702,0.0001053426,0.00008933659],"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":[0.00006472854,0.00003812034,0.00006485656,0.000006585145,0.00004180399,0.000001641235,0.00001143918,4.451443e-7,0.9830841,0.000007016001,0.01277771,0.003901486],"study_design_scores_gemma":[0.0002886876,0.0001497366,0.00006516644,0.00001330855,0.00005603904,0.00000633991,0.00001549657,0.0000042588,0.927391,0.0002646584,0.07151656,0.0002287539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907725,0.00183291,0.0005998494,0.0006228332,0.00007753711,0.0002790276,0.00007050126,0.0001285593,0.005616235],"genre_scores_gemma":[0.9915236,0.0003731232,0.004662279,0.001095666,0.0003128674,0.00001452943,0.0002287379,0.00001931651,0.001769908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05873884,"threshold_uncertainty_score":0.6699022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009690064944546049,"score_gpt":0.2604744193037442,"score_spread":0.2507843543591981,"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."}}