{"id":"W4411403951","doi":"10.1016/j.bioadv.2025.214394","title":"Cationic lipopolymer based siRNA delivery for experimental lung cancer treatment","year":2025,"lang":"en","type":"article","venue":"Biomaterials Advances","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Small interfering RNA; Survivin; RNA interference; Cell; Gene silencing; Chemistry; Lung cancer; Cancer research; Apoptosis; RNA; Biology; Medicine; Biochemistry; Pathology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004145437,0.0004255467,0.0002553916,0.000251773,0.0001465323,0.0002840187,0.0002574994,0.000398549,0.001207822],"category_scores_gemma":[0.0001662122,0.0001339389,0.0002346286,0.0001850651,0.0002833958,0.0003225106,0.0001971087,0.0005671835,0.0004748004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004141591,"about_ca_system_score_gemma":0.0003534666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000601352,"about_ca_topic_score_gemma":0.0006631198,"domain_scores_codex":[0.9998148,0.00004272809,0.000016182,0.00004384552,0.00005783978,0.00002460168],"domain_scores_gemma":[0.999939,0.00001538398,0.00001711532,0.000007163855,0.00001172987,0.000009632421],"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":[0.00005422345,0.00002563477,0.00002097286,0.00007579695,0.000003299004,0.0000319218,0.000009880457,0.000133034,0.9972507,0.0001856648,0.00005099464,0.00215783],"study_design_scores_gemma":[0.00001301128,0.0002317359,0.0001276491,0.000004388194,0.000009153478,0.00007316433,0.000003141435,0.0007586966,0.9962903,0.0000363949,0.002448498,0.00000378553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978898,0.01766955,0.07208444,0.0005428524,0.0002005907,0.000802256,0.0008400946,0.0007203192,0.00925011],"genre_scores_gemma":[0.9578188,0.006718561,0.02904328,0.0001294656,0.0000267228,0.0003614087,0.0004412077,0.00008050556,0.005379931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001207822,"threshold_uncertainty_score":0.004040599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144249731761108,"score_gpt":0.3321631456978283,"score_spread":0.3207206483802172,"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."}}