{"id":"W2981655713","doi":"10.1016/j.cancergen.2019.10.005","title":"High-resolution copy number analysis of clear cell endometrial carcinoma","year":2019,"lang":"en","type":"article","venue":"Cancer Genetics","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Office of Extramural Research, National Institutes of Health; National Human Genome Research Institute; Center for Outcomes Research and Evaluation, Yale School of Medicine; National Institutes of Health; Ministry of Land and Resources of the People's Republic of China; M.S.I. Foundation; Johns Hopkins University","keywords":"Serous fluid; Copy number analysis; Medicine; Endometrial cancer; Somatic cell; Oncology; Internal medicine; Cancer; Copy-number variation; Biology; Genetics; Genome; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006808382,0.0002540142,0.0002618146,0.001958048,0.000265597,0.0006292897,0.0003686014,0.0005318368,0.002723417],"category_scores_gemma":[0.00200313,0.0002541702,0.0003318441,0.0007382527,0.0002196143,0.0002055561,0.0003581643,0.0003988764,0.0004780115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003564077,"about_ca_system_score_gemma":0.000210014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002162231,"about_ca_topic_score_gemma":0.003755704,"domain_scores_codex":[0.9994569,0.0001351257,0.00004129661,0.0001224861,0.0001766062,0.00006757583],"domain_scores_gemma":[0.9992893,0.0003439701,0.000106105,0.0001089286,0.0001040988,0.00004748762],"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":[0.00168623,0.0001286112,0.2327921,0.0002838894,0.0005526686,0.003375821,0.0004265254,0.00566077,0.6679423,0.001665218,0.001669051,0.08381676],"study_design_scores_gemma":[0.00009561639,0.0004571275,0.678593,0.0000621181,0.0003912115,0.01356893,0.0003845187,0.02524057,0.2678461,0.001994429,0.01130856,0.00005788227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795659,0.002916621,0.009192497,0.0004993934,0.00003482704,0.00006234121,0.00241516,0.000230543,0.00508279],"genre_scores_gemma":[0.9865752,0.0005125642,0.01000394,0.0001230418,0.0000149435,0.00002338354,0.0009142518,0.00003267701,0.001799997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002723417,"threshold_uncertainty_score":0.009110749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054575864415677,"score_gpt":0.2938394995162691,"score_spread":0.2732937408721124,"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."}}