{"id":"W4396748464","doi":"10.1039/d4bm00286e","title":"Non-viral vector-based genome editing for cancer immunotherapy","year":2024,"lang":"en","type":"article","venue":"Biomaterials Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cancer immunotherapy; Immunotherapy; Genome; Viral vector; Computational biology; Vector (molecular biology); Genome editing; Cancer; Virology; Biology; Computer science; Recombinant DNA; Genetics; 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":[0.0004385261,0.0004679135,0.0005191435,0.0005024629,0.0001586966,0.0005859779,0.0003619058,0.0006186161,0.001724086],"category_scores_gemma":[0.0003211655,0.0002067014,0.0004856766,0.0003943173,0.0002877668,0.0005736172,0.0003225324,0.0009788997,0.0007077553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003987183,"about_ca_system_score_gemma":0.0003896417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002671556,"about_ca_topic_score_gemma":0.0004149671,"domain_scores_codex":[0.9996663,0.00006636376,0.00002860581,0.00007052417,0.0001327842,0.00003539589],"domain_scores_gemma":[0.9999001,0.00004038039,0.00002127051,0.00000957781,0.00002023963,0.000008414378],"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":[0.00008492193,0.00007210337,0.0001480868,0.002617121,0.00005320851,0.0003553697,0.00009555907,0.0009042767,0.8634305,0.0118631,0.002768605,0.1176072],"study_design_scores_gemma":[0.0000322726,0.0006413807,0.0007117463,0.0002276575,0.000125113,0.001868956,0.0000513636,0.003556352,0.6996538,0.003668411,0.2893945,0.00006838974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08666744,0.5535015,0.3226299,0.001917941,0.002161849,0.0005258539,0.001062235,0.001453931,0.0300793],"genre_scores_gemma":[0.4640208,0.3687997,0.1369964,0.001128966,0.0004112362,0.0004173148,0.001596461,0.0002968289,0.02633242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001724086,"threshold_uncertainty_score":0.005767643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009325946847151493,"score_gpt":0.3260759215667485,"score_spread":0.316749974719597,"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."}}