{"id":"W1019368340","doi":"10.1007/978-3-7091-0154-4_13","title":"The Use of Field-Flow Fractionation for the Analysis of Drug and Gene Delivery Systems","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Field-Flow Fractionation Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Drug delivery; Field flow fractionation; Drug; Field (mathematics); Gene delivery; Flow (mathematics); Fractionation; Chemistry; Pharmacology; Nanotechnology; Medicine; Chromatography; Materials science; Gene; Mathematics; Biochemistry; Mechanics; Physics; Genetic enhancement","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001779954,0.0001315384,0.0002367196,0.000230093,0.00006665612,0.00002617033,0.000112805,0.0001918014,0.0001179817],"category_scores_gemma":[0.00004411908,0.00008624863,0.0001588928,0.00005372032,0.00003277829,0.0001256723,0.00001983766,0.0001386907,8.920833e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003115387,"about_ca_system_score_gemma":0.00001171108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003103313,"about_ca_topic_score_gemma":0.000224101,"domain_scores_codex":[0.9992777,0.000008415918,0.0003667176,0.0001096763,0.0001729705,0.00006450062],"domain_scores_gemma":[0.997456,0.00174628,0.0001869695,0.0002919993,0.000303881,0.00001485008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001840344,0.00004462768,0.0001894492,0.000851846,0.02024523,0.000001208022,0.0007303065,0.1678085,0.001358628,0.4328158,0.174577,0.2011934],"study_design_scores_gemma":[0.0001537103,0.00004491821,0.0004662583,0.0000730441,0.002319296,0.000002544136,0.00004861262,0.5345137,0.007244094,0.002737219,0.4520701,0.0003264819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0006139338,0.006339221,0.9168469,0.0003379219,0.00140909,0.001932698,0.0003669572,0.0004172084,0.07173611],"genre_scores_gemma":[0.4607664,0.04056071,0.02429945,0.0002432227,0.0005133452,0.0005276657,0.0003821374,0.0002465525,0.4724605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8925474,"threshold_uncertainty_score":0.3517117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312796705093705,"score_gpt":0.2132632647287745,"score_spread":0.1801352976778375,"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."}}