{"id":"W2595991414","doi":"10.1016/j.ccell.2017.02.010","title":"Integrated Molecular Characterization of Uterine Carcinosarcoma","year":2017,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":444,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"National Cancer Institute; National Human Genome Research Institute; National Institutes of Health","keywords":"PTEN; Biology; Somatic cell; Carcinosarcoma; KRAS; Epigenetics; Cancer research; Transcriptome; Epigenomics; Gene; GNAQ; Serous fluid; DNA methylation; Carcinoma; Genetics; Mutation; PI3K/AKT/mTOR pathway; Gene expression","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":[0.0003860242,0.0002142966,0.0002432929,0.001623786,0.0002853552,0.0007348603,0.0003298092,0.0003757191,0.002087211],"category_scores_gemma":[0.0003645091,0.0002078086,0.0002533099,0.0005835415,0.000229806,0.0005201688,0.0004216605,0.0004365772,0.0004863001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000474233,"about_ca_system_score_gemma":0.0004930555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057874,"about_ca_topic_score_gemma":0.001785507,"domain_scores_codex":[0.9997949,0.00002693031,0.00001751403,0.00004218662,0.00007338208,0.00004506909],"domain_scores_gemma":[0.9998382,0.00002697605,0.00003039862,0.00002919005,0.00005277682,0.00002241133],"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":[0.0004115985,0.00008926622,0.05645929,0.0002123951,0.00008729139,0.0007602731,0.0002465994,0.0007287312,0.8941261,0.002368945,0.0006516836,0.04385778],"study_design_scores_gemma":[0.00006269795,0.0005614131,0.2740699,0.00007832216,0.0004300413,0.007605639,0.001100873,0.01200818,0.6614146,0.002523614,0.04011675,0.00002791108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765805,0.005538826,0.007903975,0.0004704415,0.00004692037,0.0001040826,0.001083485,0.0001228859,0.008148817],"genre_scores_gemma":[0.9866209,0.001524921,0.007210799,0.0001115672,0.00002624096,0.00006299239,0.001297545,0.00002289284,0.003122227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002087211,"threshold_uncertainty_score":0.006982386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02238540813939906,"score_gpt":0.3003475547202094,"score_spread":0.2779621465808103,"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."}}