{"id":"W2947039462","doi":"10.1016/j.ucl.2019.04.011","title":"MicroRNAs as Biomarkers for Germ Cell Tumors","year":2019,"lang":"en","type":"review","venue":"Urologic Clinics of North America","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Seminoma; microRNA; Medicine; Germ cell; Germ cell tumors; Polymerase chain reaction; Cancer research; Real-time polymerase chain reaction; Cell; Germ; Pathology; Oncology; Bioinformatics; Computational biology; Internal medicine; Gene; Biology; Cell biology; Chemotherapy; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001710878,0.001627385,0.002689407,0.002997807,0.0002735336,0.001976186,0.0009709483,0.001890473,0.002684878],"category_scores_gemma":[0.00271958,0.0005576273,0.0009097137,0.002324242,0.000728236,0.001777951,0.001070019,0.002953224,0.00129481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000799728,"about_ca_system_score_gemma":0.00157117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000943898,"about_ca_topic_score_gemma":0.002037596,"domain_scores_codex":[0.9995326,0.0001032786,0.00009041966,0.00008256643,0.0001469212,0.0000442709],"domain_scores_gemma":[0.9985541,0.0009013791,0.0002289995,0.00002781603,0.0002165266,0.00007121392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001630152,0.00005955946,0.0003790929,0.01382652,0.0002241344,0.0001502317,0.00004160431,0.00031218,0.0009684671,0.002230928,0.02604319,0.9556013],"study_design_scores_gemma":[0.0001698527,0.0004035161,0.002570913,0.01267364,0.001382182,0.001656553,0.0001309927,0.0005523575,0.001452911,0.0048234,0.974102,0.00008165904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000479119,0.9991854,0.00007237565,0.0001918952,0.0002103296,0.000002356069,0.00001039835,0.000005103005,0.0002742125],"genre_scores_gemma":[0.0008969913,0.9976267,0.0002852748,0.0004444121,0.0003758784,0.000007119798,0.00002836226,0.00000185711,0.0003334116],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002997807,"threshold_uncertainty_score":0.009048104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05930410131408909,"score_gpt":0.373915359108389,"score_spread":0.3146112577942999,"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."}}