{"id":"W2911953146","doi":"10.1111/cge.13514","title":"Liquid biopsy in breast cancer: A comprehensive review","year":2019,"lang":"en","type":"review","venue":"Clinical Genetics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":347,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"","keywords":"Liquid biopsy; Breast cancer; Medicine; Circulating tumor cell; Biopsy; Minimal residual disease; Cell-free fetal DNA; Cancer; Oncology; Blood sampling; Disease; Internal medicine; Pathology; Biology; Metastasis; Bone marrow","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003208021,0.0005437173,0.002277174,0.00006997941,0.00002680749,0.00002414111,0.0006687956,0.00085463,0.00007432492],"category_scores_gemma":[0.0001488045,0.0004939734,0.0009771048,0.0002585542,0.0001672312,0.00000108907,0.0005555784,0.0005362605,0.0001774139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006147343,"about_ca_system_score_gemma":0.001207774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038957,"about_ca_topic_score_gemma":0.00001911033,"domain_scores_codex":[0.996487,0.0002739939,0.001644035,0.0009878312,0.0001634269,0.0004437222],"domain_scores_gemma":[0.9975942,0.0002240898,0.0005888699,0.001194483,0.0001823781,0.0002160111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004806343,0.0001707376,0.0002043247,0.03395297,0.0002367189,0.00002201688,0.000001757283,0.00001085394,0.00001435724,0.000008513906,0.02662323,0.9387065],"study_design_scores_gemma":[0.0003538908,0.0002775589,0.000108492,0.02030156,0.000721123,0.00006373491,0.000001575664,0.000002741052,0.000002393506,0.000003401514,0.9776008,0.0005626922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000154056,0.9959006,0.000008900049,0.0001654169,0.001423714,0.001184286,0.0009385695,0.000008349372,0.0002160805],"genre_scores_gemma":[0.000004640117,0.9951821,0.0001887062,0.002182619,0.001312199,0.0001503381,0.0006265417,0.0001099131,0.0002429619],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9509776,"threshold_uncertainty_score":0.9997512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101962956571789,"score_gpt":0.4360506636227763,"score_spread":0.3340877070509873,"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."}}