{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001133557,0.0005120186,0.002738697,0.0001649009,0.00004050058,0.00000900511,0.0002826445,0.0002421932,0.0001095552],"category_scores_gemma":[0.0007035952,0.0003603346,0.001971863,0.0002809392,0.0001917413,0.00001737151,0.0001005435,0.0002537802,0.0004602431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004838648,"about_ca_system_score_gemma":0.0008943412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003706614,"about_ca_topic_score_gemma":0.000001288361,"domain_scores_codex":[0.9976112,0.00008316736,0.001042719,0.0006655718,0.0001957151,0.0004015992],"domain_scores_gemma":[0.9964394,0.0009977452,0.001388386,0.0008311832,0.0001282814,0.0002149772],"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":[0.0001337765,0.0007427513,0.006011667,0.0119617,0.0008416777,0.00007102757,0.000003964586,0.000001739859,4.819822e-8,0.000001106933,0.0009844573,0.9792461],"study_design_scores_gemma":[0.001140835,0.002883742,0.001169256,0.001141011,0.008706947,0.0000396962,0.000004071916,0.000009441334,1.895167e-7,0.00001378,0.9846071,0.0002839389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001117436,0.9945477,0.00002118385,0.00003422075,0.0002881586,0.002589179,0.0008104243,0.0000549036,0.0005367929],"genre_scores_gemma":[0.000452115,0.9945423,0.001471735,0.000453589,0.00007311944,0.0001518237,0.00210949,0.0000779036,0.0006679089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9836226,"threshold_uncertainty_score":0.9998848,"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."}}