{"id":"W2156167346","doi":"10.1016/j.biomaterials.2013.07.019","title":"Click conjugated polymeric immuno-nanoparticles for targeted siRNA and antisense oligonucleotide delivery","year":2013,"lang":"en","type":"article","venue":"Biomaterials","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Oligonucleotide; Lipofectamine; Nucleic acid; Small interfering RNA; Gene silencing; Nuclease; Conjugated system; PEG ratio; Transfection; RNA; Gene delivery; Materials science; Combinatorial chemistry; Biophysics; Chemistry; Biology; Biochemistry; DNA; Gene; Polymer; Organic chemistry; Recombinant DNA","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":[0.0001015716,0.0001825311,0.0002126775,0.00004097203,0.00009413213,0.0001151767,0.0001259342,0.00012609,0.0001070032],"category_scores_gemma":[0.00004455827,0.000162444,0.00006619139,0.00004666784,0.0001099352,0.00001377332,0.00009567474,0.000006601583,0.00008601963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005233184,"about_ca_system_score_gemma":0.00002691614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002634278,"about_ca_topic_score_gemma":0.000006397685,"domain_scores_codex":[0.9989527,0.00005683352,0.0003025919,0.0003217993,0.0000565827,0.0003094561],"domain_scores_gemma":[0.9994378,0.00001447422,0.0001028503,0.0002477815,0.0001084173,0.00008864258],"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":[0.0001316182,0.0000362211,0.0001996906,0.00001984871,0.00007211824,0.000001699541,0.00002246417,4.602343e-7,0.9939466,0.000009631225,0.003714024,0.001845692],"study_design_scores_gemma":[0.0005268441,0.0003677972,0.005176834,0.00001487194,0.00002297432,0.00001890799,0.00005974571,0.00002321941,0.9909651,0.00004636695,0.002550697,0.0002265958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974534,0.001468708,0.00002235445,0.0001242124,0.0003351209,0.0004254188,0.00009712025,0.00003271931,0.00004093008],"genre_scores_gemma":[0.9981881,0.0003346087,0.000445559,0.000382219,0.000169081,0.00007942149,0.0001695115,0.00002756946,0.0002038713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004977144,"threshold_uncertainty_score":0.6624276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009964636454445933,"score_gpt":0.2298373775125762,"score_spread":0.2198727410581303,"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."}}