{"id":"W2304321059","doi":"10.1021/acs.langmuir.6b00511","title":"Ferrocene-Modified Phospholipid: An Innovative Precursor for Redox-Triggered Drug Delivery Vesicles Selective to Cancer Cells","year":2016,"lang":"en","type":"article","venue":"Langmuir","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; Université du Québec à Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Rotary Foundation","keywords":"Liposome; Drug delivery; Chemistry; Vesicle; Scanning electrochemical microscopy; Phospholipid; Ferrocene; Redox; Nanotechnology; Combinatorial chemistry; Membrane; Biophysics; Electrochemistry; Materials science; Biochemistry; Organic chemistry; Electrode","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":[0.0001535169,0.0002782781,0.0001521557,0.0001816937,0.0001181363,0.0002541307,0.0003254219,0.0004917994,0.0004935405],"category_scores_gemma":[0.0002770833,0.0001396366,0.0001165029,0.00009358192,0.0001693276,0.0003755653,0.0002867269,0.0004477384,0.0003053577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779698,"about_ca_system_score_gemma":0.0001715151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001958093,"about_ca_topic_score_gemma":0.0002659365,"domain_scores_codex":[0.9999336,0.00001051731,0.000005761682,0.00002152779,0.00001780023,0.00001088452],"domain_scores_gemma":[0.9999251,0.0000172433,0.00002154523,0.000007543134,0.00001556276,0.00001292192],"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":[0.00001652901,0.000007711567,0.00002501881,0.00004257946,0.000002032622,0.00006740433,0.00001585619,0.00004784047,0.9977785,0.0001720792,0.00002412414,0.001800358],"study_design_scores_gemma":[0.00000647785,0.00007466772,0.00009848829,0.000003093648,0.000004719149,0.0001988991,0.000004560776,0.0004571863,0.9969584,0.00002835511,0.002161942,0.00000320827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9223481,0.0045729,0.06799451,0.0006111201,0.0001228225,0.0002587823,0.0002670517,0.0003828784,0.003441764],"genre_scores_gemma":[0.9545242,0.002549675,0.0389026,0.00013385,0.00002463603,0.00008833698,0.0001878255,0.0000742684,0.003514454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004935405,"threshold_uncertainty_score":0.001650989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01318912909971956,"score_gpt":0.2955133825664736,"score_spread":0.2823242534667541,"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."}}