{"id":"W4404018720","doi":"10.1101/2024.11.01.621598","title":"Insight Into the Molecular Parameters of PEI Promoting an Efficient Gene Delivery into Cells","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Centre National de la Recherche Scientifique; Institut National de la Santé et de la Recherche Médicale; Agence Nationale de la Recherche","keywords":"Gene delivery; Computational biology; Gene; Nanotechnology; Chemistry; Biology; Genetic enhancement; 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":[0.0001785532,0.0002701191,0.0001150119,0.0001684811,0.00005788059,0.0002060764,0.00009403966,0.0002179952,0.00104097],"category_scores_gemma":[0.0004478605,0.0001001328,0.0001059151,0.0001133971,0.0001289706,0.0002846099,0.00007642873,0.0002562494,0.0002972885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228265,"about_ca_system_score_gemma":0.0001997846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002651598,"about_ca_topic_score_gemma":0.0001999294,"domain_scores_codex":[0.9999444,0.0000103665,0.000005732061,0.00001457361,0.00001710488,0.000007881215],"domain_scores_gemma":[0.9998566,0.00006725431,0.0000360532,0.000007040395,0.0000238194,0.000009245708],"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":[0.00004334993,0.000008520678,0.0002505694,0.00006467257,0.000004028202,0.00002423404,0.00001349967,0.0008338127,0.996994,0.0002241668,0.00002588306,0.001513209],"study_design_scores_gemma":[0.000006264936,0.00008341586,0.0010764,0.000005648348,0.000009203513,0.00007012259,0.00001658862,0.004862241,0.9926251,0.000152476,0.001086685,0.000005907705],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732376,0.002062063,0.02168106,0.0001261781,0.00002554755,0.00005680255,0.0002796135,0.00008047972,0.002450833],"genre_scores_gemma":[0.9939787,0.0006784867,0.004539286,0.00001975964,0.000004332192,0.00003168752,0.00009503007,0.0000123682,0.0006402215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00104097,"threshold_uncertainty_score":0.003482401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008575914790994128,"score_gpt":0.216259366504676,"score_spread":0.2076834517136819,"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."}}