{"id":"W4411134105","doi":"10.3390/siuj6030040","title":"SIU-ICUD: Prevention of Lethal Prostate Cancer via Modifiable Heart-Healthy Lifestyle Changes, Metrics, and Repurposed Medications","year":2025,"lang":"en","type":"article","venue":"Société Internationale d’Urologie Journal","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prostate cancer; 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":[],"consensus_categories":[],"category_scores_codex":[0.001245398,0.0001435672,0.0004326445,0.0005016054,0.0001991163,0.00002335148,0.0001246427,0.0001720586,0.000146632],"category_scores_gemma":[0.0006525806,0.0001200664,0.0002284576,0.000383995,0.0001287078,0.0001037238,0.00006697226,0.0005857193,0.000002177156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798473,"about_ca_system_score_gemma":0.0009197562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003338555,"about_ca_topic_score_gemma":0.00006774651,"domain_scores_codex":[0.998174,0.0001731501,0.0005498458,0.0002523907,0.0005571183,0.0002935106],"domain_scores_gemma":[0.9984148,0.0002585633,0.0003553917,0.000203101,0.0005512987,0.0002168322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00142721,0.0008042499,0.8138401,0.0008243936,0.002501952,0.0000567854,0.0008641044,0.0003744076,0.002252484,0.0007241542,0.02061584,0.1557143],"study_design_scores_gemma":[0.01026889,0.001543998,0.7984183,0.0006249764,0.001098946,0.000894698,0.0008747398,0.002961837,0.002402358,0.004599119,0.1759416,0.0003705349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.936955,0.02319879,0.00282033,0.03272112,0.001876732,0.0009059146,0.00005192387,0.00005701802,0.001413223],"genre_scores_gemma":[0.9792839,0.0137001,0.001228,0.00184287,0.0004605967,0.00008216417,0.00006707989,0.00001443709,0.003320803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1553438,"threshold_uncertainty_score":0.4896166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03131740988743725,"score_gpt":0.3740198489027669,"score_spread":0.3427024390153297,"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."}}