{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428824,0.000208564,0.0002166374,0.00007288892,0.0001109555,0.00001956551,0.0001913613,0.0001368795,0.000002374693],"category_scores_gemma":[0.00004757066,0.0001451752,0.00008227771,0.000281338,0.00006434891,0.0000108528,0.00006495311,0.00004937172,0.000004056802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005854566,"about_ca_system_score_gemma":0.00007325636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007757278,"about_ca_topic_score_gemma":0.0002183709,"domain_scores_codex":[0.9987684,0.00004496943,0.0001993004,0.0005262443,0.0001101872,0.0003509194],"domain_scores_gemma":[0.9990581,0.00002248099,0.0001106358,0.0002810183,0.0004328099,0.00009497389],"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":[0.0004161314,0.00005951775,0.0001131329,0.000008683942,0.00007471936,7.771346e-7,0.000139719,0.0000029655,0.9632259,0.00003025825,0.01341704,0.02251112],"study_design_scores_gemma":[0.0004566916,0.0002453161,0.0005158035,0.00003048938,0.00002665658,0.000001168983,0.00005613442,0.00001181019,0.9692596,0.0001591213,0.02895584,0.0002813687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949104,0.0001666181,0.00326666,0.000592763,0.00008538435,0.0004004181,0.0002874224,0.00008308978,0.0002072773],"genre_scores_gemma":[0.9913903,0.0001096887,0.005447252,0.0007948931,0.000355236,0.000119354,0.00008800218,0.00003576112,0.00165945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02222976,"threshold_uncertainty_score":0.5920072,"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."}}