{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005829191,0.0005419992,0.001116781,0.001074303,0.0004469436,0.001346087,0.0005424442,0.0008940336,0.009141251],"category_scores_gemma":[0.04299856,0.0001629466,0.001063544,0.0008319296,0.0005204012,0.001997757,0.001316298,0.001256464,0.001994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008175682,"about_ca_system_score_gemma":0.001199504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666818,"about_ca_topic_score_gemma":0.004446229,"domain_scores_codex":[0.99755,0.001263547,0.0002672226,0.000271412,0.0004611691,0.0001867445],"domain_scores_gemma":[0.9697605,0.02234789,0.002524197,0.0009632708,0.002150698,0.002253371],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02423076,0.002700816,0.3011775,0.009101126,0.0006851727,0.001074403,0.01326633,0.002300188,0.00875693,0.0009942144,0.04198464,0.5937279],"study_design_scores_gemma":[0.002509004,0.02327434,0.8089237,0.007174951,0.004726038,0.005300345,0.01528112,0.03008126,0.02082203,0.005181848,0.07592503,0.0008004136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654356,0.004771023,0.004452051,0.005046481,0.0008113412,0.0008050886,0.002767073,0.001604656,0.01430655],"genre_scores_gemma":[0.974297,0.002400473,0.01468826,0.001736677,0.0002849177,0.0005113146,0.001889061,0.0001548855,0.004037492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9941708,"threshold_uncertainty_score":0.03082806,"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."}}