{"id":"W2947279348","doi":"10.1200/jco.2019.37.15_suppl.1097","title":"Measuring on-treatment genome-wide tumor copy number alterations in cell-free DNA (cfDNA) in plasma is highly prognostic in metastatic breast cancer.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Medicine; Breast cancer; Metastatic breast cancer; Oncology; Genome instability; Cancer; Cell-free fetal DNA; Internal medicine; Circulating tumor cell; Tumor progression; Metastasis; Copy-number variation; Genome; Gene; DNA; Biology; DNA damage; Genetics","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":[0.0005868342,0.0002209059,0.0003088644,0.0005868666,0.0001747118,0.0003071923,0.0001880408,0.0004634563,0.001415772],"category_scores_gemma":[0.001942401,0.0001195468,0.0001213992,0.000417657,0.0002846789,0.0002020915,0.00017888,0.000305466,0.0003652477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577493,"about_ca_system_score_gemma":0.0001593094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004323487,"about_ca_topic_score_gemma":0.000798594,"domain_scores_codex":[0.9995771,0.0001200671,0.00002627322,0.0001028235,0.0001305718,0.00004317065],"domain_scores_gemma":[0.9989507,0.0005026444,0.000308951,0.00005387289,0.0001059527,0.00007781393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001767647,0.0001060911,0.8303292,0.00009971733,0.0001137335,0.0002251429,0.0001013999,0.0007683749,0.1358861,0.0000678854,0.0003668578,0.03016794],"study_design_scores_gemma":[0.00002219431,0.001155516,0.9285029,0.00001355063,0.00009240259,0.001881948,0.00007796654,0.002076308,0.06479164,0.0001557262,0.001216702,0.00001313502],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961856,0.001204379,0.001444328,0.00007414348,0.00001026718,0.00001949507,0.0003124779,0.00003473166,0.0007145706],"genre_scores_gemma":[0.9984266,0.0001715839,0.0007435319,0.00003320256,0.000008540853,0.00001289667,0.0003332763,0.000005348593,0.0002650515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001415772,"threshold_uncertainty_score":0.004736185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330579675642313,"score_gpt":0.3641544389467383,"score_spread":0.3108486421903152,"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."}}