{"id":"W4413818775","doi":"10.1016/j.tibtech.2025.07.031","title":"Targeting RAS-mutant cancer cells using a synthetic RAS-activated cancer killing system","year":2025,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Canadian Anesthesiologists' Society","keywords":"Mutant; Cancer; Cancer cell; Cancer research; Biology; Computational biology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001344844,0.0002510067,0.0003241916,0.0004907355,0.00009453408,0.00001838723,0.0003496417,0.0006672915,0.00005531101],"category_scores_gemma":[0.0000211063,0.0002425397,0.00008645657,0.0006531209,0.0001355281,0.000005014996,0.0001988129,0.0002839266,0.000004398245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000183046,"about_ca_system_score_gemma":0.0001083035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008960729,"about_ca_topic_score_gemma":0.0002496985,"domain_scores_codex":[0.9984171,0.00006151674,0.0003775713,0.0005979844,0.00007682938,0.0004690192],"domain_scores_gemma":[0.9993739,0.00001212601,0.0001329533,0.0003901707,0.00005752338,0.0000333528],"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":[0.00007841003,0.00003406971,0.0008266643,0.00004540622,0.00009203244,0.00001439819,0.00002534198,0.002099226,0.9861324,0.00008090561,0.0003087454,0.01026244],"study_design_scores_gemma":[0.0003983751,0.0000584912,0.00008697954,0.0002988341,0.00003711579,0.000007574261,0.0003268277,0.004286928,0.9904277,0.00001123359,0.003812537,0.0002473674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926631,0.004079984,0.001381523,0.0006493923,0.0007628215,0.0001125787,0.00003807368,0.00008265949,0.0002298524],"genre_scores_gemma":[0.9976699,0.001351433,0.0003707031,0.0001306168,0.00008205573,0.00006190837,0.00002206039,0.00002507711,0.0002862623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001507,"threshold_uncertainty_score":0.989048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480428065231366,"score_gpt":0.2929989768499147,"score_spread":0.2781946961976011,"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."}}