{"id":"W4407564365","doi":"10.51601/ijhp.v5i1.404","title":"Mapping the Future: A Content Analysis of the Evolution of Gene Therapy in Urological Cancer","year":2025,"lang":"en","type":"article","venue":"International Journal of Health and Pharmaceutical (IJHP)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Martha's Regional Hospital","funders":"","keywords":"Cancer; Cancer therapy; Computational biology; Genetic enhancement; Gene; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001070257,0.00005327255,0.0002612198,0.0002481239,0.00003384913,0.000004499553,0.0001386952,0.00007193832,0.00004234451],"category_scores_gemma":[0.00006839586,0.00002454335,0.0001463571,0.0004845201,0.0002823122,0.00002119459,0.00002567093,0.0003695774,4.126181e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272987,"about_ca_system_score_gemma":0.0004626403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001523824,"about_ca_topic_score_gemma":0.00002227335,"domain_scores_codex":[0.9986222,0.000171929,0.0006059546,0.00006952985,0.0004386493,0.00009175763],"domain_scores_gemma":[0.9990561,0.0001522527,0.0003106509,0.00005679376,0.0003482185,0.00007597839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002855896,0.0006435479,0.4228022,0.0001827455,0.002927716,0.000009465238,0.001576864,0.0003056487,0.01444572,0.01820836,0.0002880308,0.5357538],"study_design_scores_gemma":[0.002337389,0.0001648446,0.9712757,0.0002360611,0.0001469469,0.00002160863,0.0005753291,0.0124957,0.0005410658,0.00132314,0.01085044,0.00003180547],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.729147,0.03296103,0.002668775,0.2342811,0.0007250162,0.0001559898,0.000009537924,0.000001368034,0.00005018613],"genre_scores_gemma":[0.986533,0.007205701,0.0000803709,0.00601101,0.0001447617,0.0000018179,0.000001805668,0.000001589301,0.00001997822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5484734,"threshold_uncertainty_score":0.160565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1314943696538962,"score_gpt":0.4455247137666154,"score_spread":0.3140303441127192,"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."}}