{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000839958,0.0008022059,0.00112115,0.003400734,0.0003166771,0.001114458,0.0008565893,0.001092586,0.004786857],"category_scores_gemma":[0.00161434,0.0002877531,0.0006263684,0.003033833,0.0004689083,0.001529637,0.000671587,0.001494342,0.002467768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006899185,"about_ca_system_score_gemma":0.001435758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504196,"about_ca_topic_score_gemma":0.002378917,"domain_scores_codex":[0.9997378,0.00005809636,0.00004393456,0.00004730187,0.0000900069,0.0000227948],"domain_scores_gemma":[0.9991247,0.0005368793,0.00007539213,0.00002193308,0.0001933548,0.00004775025],"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":[0.0000541055,0.00004363379,0.0002870943,0.01939113,0.00006500554,0.0002841709,0.00005634862,0.0002567801,0.0008309123,0.001889521,0.04006476,0.9367765],"study_design_scores_gemma":[0.000009502214,0.00006934769,0.0009441688,0.007971102,0.0001308405,0.002691539,0.0000724036,0.00009302234,0.000373096,0.001419308,0.9862012,0.00002445068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006464488,0.9985734,0.0001190583,0.0002877755,0.000217708,0.000003836251,0.0000198985,0.000007255521,0.0007064857],"genre_scores_gemma":[0.0004270732,0.9986258,0.000195987,0.0002162318,0.0001986404,0.000005355786,0.00003609126,0.000002100859,0.0002927369],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004786857,"threshold_uncertainty_score":0.01601362,"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."}}