{"id":"W4312100589","doi":"10.3390/curroncol30010013","title":"Combining Molecular Subtypes with Multivariable Clinical Models Has the Potential to Improve Prediction of Treatment Outcomes in Prostate Cancer at Diagnosis","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bob Champion Cancer Trust; University of East Anglia; Cancer Research UK; Biotechnology and Biological Sciences Research Council; Masonic Charitable Foundation","keywords":"Medicine; Prostate cancer; Prostatectomy; Biochemical recurrence; Internal medicine; Oncology; Cancer; Downregulation and upregulation; Prostate; Bioinformatics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.007610766,0.001347906,0.001322501,0.001866712,0.0002766019,0.001793381,0.0007148921,0.0004534612,0.001687976],"category_scores_gemma":[0.01294889,0.0003622579,0.001924782,0.001500731,0.0002777001,0.0008028177,0.001238183,0.00154383,0.0006965137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555746,"about_ca_system_score_gemma":0.001025901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005192663,"about_ca_topic_score_gemma":0.007746071,"domain_scores_codex":[0.9972555,0.001874527,0.0001517957,0.0003020637,0.0002669132,0.0001491935],"domain_scores_gemma":[0.9915534,0.006097932,0.0009135369,0.0008264563,0.0003607909,0.0002478371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007449875,0.0002486942,0.7977248,0.0001585379,0.002538155,0.0001132708,0.00007034942,0.1085504,0.001475416,0.0009030792,0.002528964,0.08494341],"study_design_scores_gemma":[0.0001204881,0.001077313,0.2837811,0.00007760136,0.001124932,0.0003360405,0.0001488248,0.6934206,0.001693874,0.01301871,0.005082402,0.0001180439],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7278865,0.004552143,0.2507099,0.003870265,0.0004577829,0.000317029,0.007149138,0.001607179,0.00345011],"genre_scores_gemma":[0.9694548,0.0007277563,0.0251068,0.0002353171,0.0002180156,0.00006907465,0.003274479,0.0001088475,0.0008049422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007610766,"threshold_uncertainty_score":0.04025006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710215254200945,"score_gpt":0.3595870553750822,"score_spread":0.3024849028330727,"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."}}