{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006328971,0.00014337,0.0002378801,0.00006989764,0.00003040161,0.000009529788,0.00002924205,0.00005683928,0.0002613915],"category_scores_gemma":[0.000124091,0.0001151501,0.0001066678,0.0001957486,0.00007818519,0.0000354316,0.00002263786,0.00005316869,0.00004278068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003591913,"about_ca_system_score_gemma":0.0001793067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003443739,"about_ca_topic_score_gemma":2.431255e-7,"domain_scores_codex":[0.9989739,0.0000190065,0.0003555864,0.0002627121,0.0002272102,0.0001615841],"domain_scores_gemma":[0.9987957,0.000009911379,0.0003297273,0.0004242556,0.00027805,0.0001623627],"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":[0.00002850151,0.0006114293,0.09846964,0.0001193216,0.00003483909,0.005532136,0.00004726866,6.428145e-7,0.8939044,0.000007012437,0.00006544989,0.001179301],"study_design_scores_gemma":[0.0004855828,0.0003726966,0.15217,0.0001212869,0.0003317009,0.0003735927,0.00001092707,0.0001549895,0.8442742,0.00004627498,0.001540857,0.0001179278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928398,0.0001813974,0.0006637704,0.00001941335,0.0001287566,0.0003365044,0.000007735864,0.00005974868,0.005762832],"genre_scores_gemma":[0.9976985,0.000006963583,0.0007211863,0.00008690702,0.00004870616,0.00001169137,0.0003296447,0.00002797739,0.001068388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05370033,"threshold_uncertainty_score":0.4695686,"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."}}