{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008315907,0.0001484035,0.0006118056,0.0003100087,0.00002300236,0.000007615779,0.00009601129,0.0001105481,0.004694433],"category_scores_gemma":[0.00002427253,0.0001258865,0.0002844346,0.002041642,0.0000429695,0.00002136995,0.00004201478,0.0001022343,0.000132851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000249184,"about_ca_system_score_gemma":0.0001271401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138234,"about_ca_topic_score_gemma":0.00005779988,"domain_scores_codex":[0.9987058,0.00003718897,0.0003352753,0.0002864962,0.0003948001,0.0002404446],"domain_scores_gemma":[0.9990754,0.00009299776,0.0001503109,0.0003673171,0.0001679772,0.0001459645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001611961,0.0002028309,0.9857876,0.0001066716,0.001131847,0.000005786144,0.00008393028,0.001342947,0.005111479,0.00005795737,0.0003894916,0.004167546],"study_design_scores_gemma":[0.01686711,0.001483195,0.7993685,0.00003673638,0.008310153,0.000002003265,0.0000665562,0.001208188,0.1632975,0.00005069877,0.009014951,0.0002944203],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929105,0.002525726,0.00007617632,0.00007223802,0.0007460918,0.0003631722,0.0001335382,0.0000184353,0.003154092],"genre_scores_gemma":[0.9962603,0.001022272,0.0007817646,0.000166712,0.0003264775,0.00002165653,0.00007881138,0.00002146423,0.001320491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186419,"threshold_uncertainty_score":0.9962154,"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."}}