{"id":"W4413270322","doi":"10.1002/pros.70034","title":"Machine Learning Approach Identifies miRNA Biomarkers for Post Surgical Patient Stratification in Prostate Cancer","year":2025,"lang":"en","type":"article","venue":"The Prostate","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre","funders":"Sunnybrook Foundation","keywords":"Prostate cancer; Medicine; Metastasis; microRNA; Oncology; Receiver operating characteristic; Prostatectomy; Internal medicine; Cancer; Linear discriminant analysis; Bioinformatics; Artificial intelligence; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001889369,0.0006354704,0.0007549432,0.001601149,0.0003254625,0.0007935169,0.0004613997,0.0005006455,0.0008921908],"category_scores_gemma":[0.0035554,0.0001994448,0.0007415751,0.0007170995,0.0002779973,0.000363693,0.0004651022,0.0006259737,0.0005463106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004405756,"about_ca_system_score_gemma":0.0007512566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000707638,"about_ca_topic_score_gemma":0.0008232751,"domain_scores_codex":[0.9993325,0.000252354,0.00005377094,0.0001593718,0.0001366892,0.0000653785],"domain_scores_gemma":[0.9986717,0.0007761123,0.000203482,0.00008372637,0.0002071145,0.00005797444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001590058,0.0009285788,0.2656218,0.0003732512,0.0005659192,0.0003030878,0.0002232537,0.1116265,0.04914386,0.001310334,0.002061327,0.5662521],"study_design_scores_gemma":[0.00004596182,0.000889734,0.05825197,0.00006270074,0.0002088738,0.0005134065,0.00008727938,0.9160892,0.01869192,0.003007778,0.002089062,0.0000620518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7713685,0.002629041,0.2199828,0.0008536088,0.00007197559,0.0001975134,0.0008811224,0.001092793,0.002922602],"genre_scores_gemma":[0.9496388,0.0003368614,0.04858655,0.00010533,0.0000398266,0.0001123439,0.0005532628,0.00002105948,0.0006059243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001889369,"threshold_uncertainty_score":0.009992003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007556482189780018,"score_gpt":0.2601650482374067,"score_spread":0.2526085660476267,"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."}}