{"id":"W4409618482","doi":"10.3390/siuj6020034","title":"ChatGPT vs. Gemini: Which Provides Better Information on Bladder Cancer?","year":2025,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bladder cancer; Computer science; Urology; Medicine; Cancer; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002196302,0.0002007674,0.0002656693,0.0002969967,0.0001817642,0.0001190741,0.000213944,0.0001531094,0.001275624],"category_scores_gemma":[0.0002823952,0.0001560575,0.0001692442,0.0001953262,0.0000552913,0.0004156907,0.00005697771,0.000591661,0.0000791919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004690705,"about_ca_system_score_gemma":0.0005943847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004626377,"about_ca_topic_score_gemma":0.0000188962,"domain_scores_codex":[0.9985581,0.00004729293,0.0004415224,0.0001798067,0.0004934943,0.0002797939],"domain_scores_gemma":[0.9988398,0.000130577,0.0002189594,0.0001737299,0.0005389212,0.00009803321],"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":[0.003692684,0.0007526863,0.3586951,0.0001514554,0.003380124,0.00008698975,0.00159926,0.0003276236,0.0004558285,0.002824401,0.2656872,0.3623466],"study_design_scores_gemma":[0.01058207,0.001585898,0.5043238,0.0004737728,0.0005628161,0.0002381075,0.000607021,0.000959475,0.00423117,0.007736278,0.4682834,0.0004160947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.719991,0.0009148346,0.001285887,0.1210844,0.004671191,0.0008878968,0.0001175726,0.0001812318,0.150866],"genre_scores_gemma":[0.9619452,0.0007131693,0.0003236747,0.03012737,0.0008183612,0.0001173124,0.00006655732,0.00001235852,0.005875941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3619305,"threshold_uncertainty_score":0.9996374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0227285469624262,"score_gpt":0.3387662486556106,"score_spread":0.3160377016931843,"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."}}