{"id":"W3216346719","doi":"10.3390/pr9122136","title":"MicroRNA as a Biomarker for Diagnostic, Prognostic, and Therapeutic Purpose in Urinary Tract Cancer","year":2021,"lang":"en","type":"article","venue":"Processes","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"microRNA; Urinary system; Biomarker; Medicine; Metastasis; Bladder cancer; Suppressor; Cancer; Diagnostic biomarker; Oncology; Cancer research; Internal medicine; Bioinformatics; Gene; Biology","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":[0.0001129301,0.0001539206,0.0001435235,0.00005576936,0.00005962189,0.00005052544,0.0001174783,0.0001469773,0.00005320388],"category_scores_gemma":[0.001110975,0.0001529576,0.0000417459,0.0002309086,0.00005791747,0.000004948232,0.0001009801,0.00009589751,0.000003342056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002096596,"about_ca_system_score_gemma":0.0006702754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003850749,"about_ca_topic_score_gemma":0.0001620121,"domain_scores_codex":[0.998904,0.00004286033,0.000155689,0.0004604702,0.0001184297,0.000318515],"domain_scores_gemma":[0.9993248,0.0001217572,0.00004205882,0.0001734564,0.0002564223,0.00008149944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003055088,0.0005996577,0.003004029,0.001206268,0.0001063204,0.0001540457,0.0001212747,0.00001324435,0.9586902,0.00002599366,0.0004132012,0.03536024],"study_design_scores_gemma":[0.001174674,0.0004685691,0.002786672,0.0001406314,0.00004813771,0.0002406683,0.00009780214,0.0000742975,0.9224223,0.0006408428,0.07163144,0.0002738853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7576884,0.2349456,0.004045959,0.001482231,0.0001344703,0.001198166,0.0001022587,0.00002208673,0.0003807793],"genre_scores_gemma":[0.9838968,0.01381419,0.0003802511,0.0004248203,0.0000799775,0.0008386531,0.00008151635,0.00004097616,0.0004428032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2262084,"threshold_uncertainty_score":0.6237428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031559396780244,"score_gpt":0.318982163576158,"score_spread":0.2986665696083556,"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."}}