{"id":"W2807733000","doi":"10.1016/j.celrep.2018.05.039","title":"Integrated Molecular Characterization of Testicular Germ Cell Tumors","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":460,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; National Institute of General Medical Sciences; National Institutes of Health; National Cancer Institute; National Human Genome Research Institute","keywords":"Germ cell; Biology; Germ cell tumors; Germ; Computational biology; Cell biology; Cancer research; Genetics; Gene","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":[0.0001370918,0.0001575916,0.0002390376,0.0009924921,0.0001311129,0.0003925352,0.0001316028,0.000116226,0.000824945],"category_scores_gemma":[0.0002392526,0.00009414311,0.0001585645,0.0006888394,0.0001621237,0.00012837,0.000185499,0.0001872815,0.0001671271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739344,"about_ca_system_score_gemma":0.0002236544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081115,"about_ca_topic_score_gemma":0.001863256,"domain_scores_codex":[0.9998894,0.00001015507,0.000007941728,0.00003056646,0.00003640591,0.0000255351],"domain_scores_gemma":[0.9998405,0.00002799543,0.00003587872,0.00001964571,0.00003817988,0.00003782002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002386667,0.00003196098,0.1331573,0.0001007078,0.00006621187,0.0004990665,0.0001303495,0.0003461012,0.8490964,0.0001565259,0.00009942213,0.0160772],"study_design_scores_gemma":[0.00001450647,0.0003454124,0.6634967,0.000008394933,0.000177096,0.004463427,0.0003037371,0.002717503,0.3252639,0.000204035,0.00299202,0.00001325077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953186,0.000807463,0.002416635,0.00001249845,0.00000378476,0.00001987899,0.0007405462,0.00003870641,0.0006419117],"genre_scores_gemma":[0.994821,0.0003862334,0.003019084,0.00001275867,0.000005561782,0.00001422797,0.001335322,0.00001250202,0.0003932775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081115,"threshold_uncertainty_score":0.002759755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006820851947015933,"score_gpt":0.22944311537889,"score_spread":0.2226222634318741,"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."}}