{"id":"W1527671180","doi":"10.1002/9781118354377.ch23","title":"Dicationic gemini nanoparticle design for gene therapy","year":2013,"lang":"en","type":"other","venue":"","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Genetic enhancement; Nanoparticle; Computational biology; Gene; Computer science; Chemistry; Nanotechnology; Biology; Materials science; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003492866,0.0004182044,0.0002735015,0.0002215843,0.0002615808,0.0003025367,0.0003545393,0.0003671206,0.002942981],"category_scores_gemma":[0.0001195122,0.0001687612,0.0001465481,0.0002041778,0.0002015921,0.000338638,0.000336349,0.0004354346,0.001247265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006714125,"about_ca_system_score_gemma":0.0002501655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004016791,"about_ca_topic_score_gemma":0.0009391422,"domain_scores_codex":[0.9998887,0.00001543049,0.000007166624,0.00003042934,0.00004111411,0.00001715152],"domain_scores_gemma":[0.9999665,0.000003794313,0.000008558612,0.000005814843,0.000008845968,0.000006443593],"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":[0.000157139,0.0000385819,0.00008924763,0.0002503599,0.00001124669,0.00008450384,0.00006268544,0.001056656,0.9519473,0.008775772,0.002910095,0.03461638],"study_design_scores_gemma":[0.00001877823,0.0001039977,0.0001324602,0.000007535777,0.000009978779,0.0001425039,0.000008114339,0.003039162,0.9523668,0.0004001383,0.04376101,0.0000094685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4250361,0.01502093,0.4096503,0.001315925,0.000601927,0.0006399358,0.0013282,0.002844677,0.1435621],"genre_scores_gemma":[0.7457839,0.00587622,0.1604821,0.0004446219,0.0000535362,0.0003030705,0.000958726,0.0004006972,0.08569721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002942981,"threshold_uncertainty_score":0.009845257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02758954648624042,"score_gpt":0.2653597315297899,"score_spread":0.2377701850435495,"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."}}