{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000319925,0.0001026864,0.00008292192,0.00005754075,0.00008571488,0.0001587963,0.0002188334,0.00004659113,0.00001968311],"category_scores_gemma":[0.00001754625,0.00009083088,0.00004997343,0.0001221439,0.000117647,0.000005792176,0.00003707163,0.000009120864,0.000003999531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002209167,"about_ca_system_score_gemma":0.0001748334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002279761,"about_ca_topic_score_gemma":0.000003400688,"domain_scores_codex":[0.9991698,0.000004590381,0.0001302268,0.0003234262,0.0001021444,0.0002698261],"domain_scores_gemma":[0.9997128,0.000005306186,0.00002024747,0.0001714749,0.0000444128,0.00004578716],"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":[0.00001300701,0.000004846329,0.00002176654,0.00004604288,0.000006822308,6.774383e-7,0.00002653935,0.0002462769,0.9984449,0.0000207887,0.0001144436,0.00105396],"study_design_scores_gemma":[0.0001364039,0.00008984806,0.001188922,0.00002358179,0.000004195688,0.000002166503,0.00000755127,0.001419059,0.9684376,0.00001045977,0.02855636,0.0001238262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690241,0.001765528,0.02646603,0.0001234245,0.002266045,0.0001956591,0.00006607595,0.00005781023,0.00003534634],"genre_scores_gemma":[0.9967715,0.00004057569,0.001965157,0.00007645169,0.0009571828,0.00008770435,0.00002057338,0.00002622099,0.00005462502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03000721,"threshold_uncertainty_score":0.3703976,"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."}}