{"id":"W4417158195","doi":"10.3390/app152412959","title":"Towards Digital Twins in Prostate Cancer: A Mixture-of-Experts Framework for Multitask Prognostics in Hospital Admissions","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Prognostics; Acute kidney injury; Receiver operating characteristic; Triage; Prostate cancer; Emergency department","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":[0.0004331429,0.0001558488,0.0002463713,0.0003205582,0.0001552168,0.0001760213,0.001121196,0.00008853782,0.000003452566],"category_scores_gemma":[0.001251508,0.0001299823,0.0000434243,0.001858823,0.0001832044,0.0002672164,0.000299911,0.0002402707,0.000001056216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000768723,"about_ca_system_score_gemma":0.001017878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002415199,"about_ca_topic_score_gemma":0.0001267563,"domain_scores_codex":[0.9981953,0.00002763454,0.0003890749,0.0005896069,0.0003329609,0.0004654271],"domain_scores_gemma":[0.9988272,0.0005767812,0.0001270988,0.0002915679,0.00006958302,0.0001077255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002782668,0.0004220743,0.31503,0.0002331121,0.000008898377,0.000008951504,0.01136176,0.003435215,0.0001173605,0.488972,0.0003622452,0.1800206],"study_design_scores_gemma":[0.002960242,0.001686113,0.1951772,0.003127006,0.00001642593,0.000004443619,0.005191416,0.2804045,0.005778172,0.4872957,0.0165951,0.001763642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.807891,0.001494022,0.1511908,0.02728242,0.001954754,0.004757789,0.00007410691,0.0002937496,0.005061378],"genre_scores_gemma":[0.8936,0.00002116874,0.1056563,0.0002621035,0.0000228985,0.0003977222,0.000002064632,0.000005205371,0.00003260325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2769693,"threshold_uncertainty_score":0.5300527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156052424698447,"score_gpt":0.3365655669949023,"score_spread":0.3209603245250576,"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."}}