{"id":"W4308684444","doi":"10.1158/1078-0432.ccr-22-2781","title":"Molecular Monitoring in Endometrial Cancer—Ready for Prime Time?","year":2022,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Endometrial cancer; Cancer; Oncology; Disease; Medicine; Risk stratification; Internal medicine; Stage (stratigraphy); Bioinformatics; Biology","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":[0.0032792,0.0006800849,0.0009342702,0.0005502638,0.0009232606,0.001672985,0.001112978,0.01688327,0.003693229],"category_scores_gemma":[0.01426594,0.0004180827,0.0007938827,0.0004272501,0.00184416,0.002894878,0.0005354178,0.01647163,0.004167176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001770044,"about_ca_system_score_gemma":0.00106555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000779375,"about_ca_topic_score_gemma":0.0009055561,"domain_scores_codex":[0.9980136,0.000724278,0.0002553255,0.0002191601,0.0006242523,0.0001633563],"domain_scores_gemma":[0.9930213,0.004269409,0.0003866426,0.0003278562,0.001262539,0.000732364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004355985,0.000105381,0.00266257,0.0004236574,0.00003612446,0.01005528,0.00009443425,0.0002530442,0.002877879,0.00559798,0.8964422,0.08101601],"study_design_scores_gemma":[0.000341686,0.0005695454,0.003841256,0.0007174591,0.00007399174,0.02534167,0.0003094386,0.001178889,0.002277439,0.02380753,0.9414549,0.00008621906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001061967,0.01324907,0.0006090901,0.9548336,0.02794581,0.00001726998,0.00004755702,0.00005628759,0.002179309],"genre_scores_gemma":[0.01745549,0.01897069,0.001616933,0.7306417,0.2248577,0.00006818419,0.00008786633,0.00004498323,0.006256545],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01688327,"threshold_uncertainty_score":0.01734227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103175373538921,"score_gpt":0.5118544432595084,"score_spread":0.3015369059056162,"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."}}