{"id":"W2173812866","doi":"10.1007/978-3-642-36077-0_4","title":"Liposomes for DNA Nanotechnology: Preparation, Properties, and Applications","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Liposome; Nanotechnology; Nanomaterials; Drug delivery; DNA; Materials science; Nanoparticle; Biosensor; Biophysics; Chemistry; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000532157,0.0007568738,0.0005729003,0.0009406786,0.0002551363,0.000886599,0.0007393904,0.0007920744,0.003319185],"category_scores_gemma":[0.0004913484,0.0004572329,0.000316177,0.0007321314,0.0005520665,0.002029662,0.0009160048,0.001420377,0.00319273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006699095,"about_ca_system_score_gemma":0.0004414671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002271869,"about_ca_topic_score_gemma":0.0004047891,"domain_scores_codex":[0.9997925,0.00002281738,0.00001281026,0.00003924772,0.0001152714,0.00001742928],"domain_scores_gemma":[0.9998456,0.00007159352,0.00001895381,0.00001659357,0.0000365176,0.00001079252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001359343,0.00008485073,0.0001633485,0.002077004,0.00002503293,0.0001544134,0.0003103046,0.0009309556,0.5441417,0.03922413,0.01479516,0.3979572],"study_design_scores_gemma":[0.00002614465,0.0001886523,0.000334025,0.0003395243,0.00002971892,0.001121113,0.00007623826,0.002032426,0.5195173,0.0172403,0.4590392,0.00005540378],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.03700442,0.6128228,0.2882131,0.004327722,0.001634227,0.0004850132,0.001162171,0.001573814,0.05277675],"genre_scores_gemma":[0.1592463,0.4254907,0.2485506,0.002076402,0.0007535858,0.0008068166,0.001595394,0.0009494962,0.1605307],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003319185,"threshold_uncertainty_score":0.01110375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01579092163496422,"score_gpt":0.2478209918843444,"score_spread":0.2320300702493801,"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."}}