{"id":"W4226541608","doi":"10.1158/1078-0432.ccr-22-0336","title":"Double Trouble: Whole-Genome Doubling Distinguishes Early from Late Ovarian Cancer","year":2022,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Genomics; University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre","funders":"University of Toronto; Ontario Institute for Cancer Research","keywords":"Ovarian cancer; Biology; Serous ovarian cancer; Stage (stratigraphy); Serous fluid; Cancer; Genome; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001546179,0.0004118577,0.0009979493,0.0004591394,0.000978522,0.00137337,0.0006811688,0.01056865,0.002571758],"category_scores_gemma":[0.01035428,0.0003030485,0.0004064675,0.0003997403,0.001224337,0.001014353,0.0004651878,0.01013092,0.003540301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001532319,"about_ca_system_score_gemma":0.0007220615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001279062,"about_ca_topic_score_gemma":0.002061856,"domain_scores_codex":[0.9987289,0.0005059204,0.0001319826,0.0001963058,0.0003048617,0.0001319462],"domain_scores_gemma":[0.9954532,0.003030146,0.0002177153,0.0002724488,0.0005983448,0.00042808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005508888,0.00006885351,0.009840421,0.0001233307,0.00004651714,0.01508818,0.0001680452,0.0002167677,0.0030716,0.003589001,0.8953478,0.07188873],"study_design_scores_gemma":[0.0004394341,0.0005774,0.02002292,0.0003949956,0.0001067322,0.07167856,0.001000472,0.002588142,0.004745602,0.03488904,0.8634294,0.0001272869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006218303,0.004324182,0.0005661538,0.9640917,0.01739653,0.00002650693,0.0001409097,0.00008367757,0.007151983],"genre_scores_gemma":[0.07815453,0.006698071,0.0009167973,0.8115883,0.08734798,0.00006788474,0.0001840129,0.00007727496,0.01496517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01056865,"threshold_uncertainty_score":0.01111776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3034459126468498,"score_gpt":0.4946104641212272,"score_spread":0.1911645514743774,"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."}}