{"id":"W3157671213","doi":"10.1039/d0nr09052b","title":"<i>In silico</i> prediction of the <i>in vitro</i> behavior of polymeric gene delivery vectors","year":2021,"lang":"en","type":"article","venue":"Nanoscale","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Politecnico di Milano; Fondazione Cariplo","keywords":"In silico; In vitro; Gene delivery; Computational biology; Viral vector; Gene; Chemistry; Transfection; Computer science; Nanotechnology; Biology; Materials science; Biochemistry; Recombinant DNA","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":[0.0005636979,0.0006380429,0.0005061171,0.0003136009,0.0001850587,0.0006986394,0.0004285043,0.0005609989,0.001324993],"category_scores_gemma":[0.001152394,0.0002873021,0.0005790049,0.0002061992,0.0002824996,0.0004912892,0.0002241407,0.0005212851,0.0005201091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000583505,"about_ca_system_score_gemma":0.0004884506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498741,"about_ca_topic_score_gemma":0.002196135,"domain_scores_codex":[0.9997998,0.00005620093,0.00001777605,0.00003950181,0.00006098034,0.00002574622],"domain_scores_gemma":[0.9996712,0.0001830391,0.00005141539,0.00003821006,0.00004534118,0.00001087435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002636643,0.0001921551,0.006667878,0.0006315808,0.0001346641,0.0002164108,0.0001106103,0.5140293,0.4600254,0.002827874,0.0009581707,0.01394222],"study_design_scores_gemma":[0.00001613939,0.0002705957,0.001852767,0.00001943768,0.00006068025,0.00007133085,0.00003724981,0.6964402,0.2978913,0.0009370503,0.002366482,0.00003683333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7035588,0.001593134,0.2824152,0.0003949929,0.00008252683,0.0001833374,0.002229562,0.002090759,0.007451645],"genre_scores_gemma":[0.9590428,0.001260175,0.03679964,0.00007616207,0.00001000655,0.0001695267,0.001295848,0.0001566464,0.00118896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002498741,"threshold_uncertainty_score":0.004968405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007547445437286494,"score_gpt":0.2172256297185553,"score_spread":0.2096781842812688,"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."}}