{"id":"W2082676302","doi":"10.1038/mt.2010.39","title":"Designer Lipids Advance Systemic siRNA Delivery","year":2010,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Computational biology; Cell biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008525923,0.0008241734,0.0006728967,0.0008237236,0.0003878566,0.001738997,0.0005864626,0.001605702,0.0129405],"category_scores_gemma":[0.0008813731,0.000476656,0.0005952343,0.0004002406,0.0005839034,0.001628307,0.0018577,0.00256777,0.009439263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009127751,"about_ca_system_score_gemma":0.0009053973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005931403,"about_ca_topic_score_gemma":0.0007621926,"domain_scores_codex":[0.9994096,0.0001178327,0.00004336207,0.0001369189,0.0002155435,0.00007676144],"domain_scores_gemma":[0.9995341,0.0001359627,0.00008047244,0.00005699465,0.000130066,0.00006241314],"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":[0.00089583,0.0001679734,0.0004141137,0.002710547,0.00008708212,0.0007495031,0.0003467667,0.001097866,0.6847904,0.03131362,0.0197769,0.2576494],"study_design_scores_gemma":[0.0001829074,0.0008049001,0.0005628184,0.0003742423,0.000153106,0.001545056,0.00008954301,0.002293926,0.3686442,0.007949586,0.617323,0.00007664331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07453827,0.2900609,0.3651442,0.02188971,0.007311678,0.001156138,0.002116377,0.006065593,0.2317171],"genre_scores_gemma":[0.4599587,0.2142806,0.1301719,0.01032617,0.002157727,0.001391629,0.002292211,0.001925674,0.1774955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0129405,"threshold_uncertainty_score":0.04329026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007068983090455629,"score_gpt":0.2340033436944569,"score_spread":0.2269343606040013,"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."}}