{"id":"W2834578332","doi":"10.1093/jncics/pky028","title":"Association of Metabolic, Inflammatory, and Tumor Markers With Circulating Tumor Cells in Metastatic Breast Cancer","year":2018,"lang":"en","type":"article","venue":"JNCI Cancer Spectrum","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; St. Michael's Hospital; Princess Margaret Cancer Centre; University of Toronto; University Health Network; Lunenfeld-Tanenbaum Research Institute; Statistics Canada","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Breast Cancer Research Foundation","keywords":"Medicine; Breast cancer; Circulating tumor cell; CA15-3; Inflammatory breast cancer; Oncology; Metastatic breast cancer; Internal medicine; Cancer; Association (psychology); Metastasis; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002494348,0.0001663744,0.0002689548,0.0004285331,0.000280669,0.0004619714,0.0001914486,0.0002101687,0.001982916],"category_scores_gemma":[0.001622731,0.0001125799,0.0001294627,0.0006913192,0.0001815808,0.0001406887,0.0002017959,0.0003218668,0.0001328556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004955747,"about_ca_system_score_gemma":0.0004383967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349259,"about_ca_topic_score_gemma":0.02296657,"domain_scores_codex":[0.999749,0.000046548,0.00002460006,0.00004149971,0.00007874917,0.00005957295],"domain_scores_gemma":[0.9988894,0.0001900832,0.0004372641,0.00003633542,0.0001762543,0.00027075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002990554,0.00001886265,0.9976355,0.00001208374,0.00001429764,0.00008867492,0.00001461264,0.00002622911,0.0005583412,0.000005543715,0.00007395422,0.001252788],"study_design_scores_gemma":[0.00001160007,0.00007551459,0.9990826,0.000003972289,0.00001647129,0.0003062281,0.00003825543,0.0001405475,0.0001449509,0.00001058114,0.0001675975,0.00000175193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998572,0.000680972,0.00005647104,0.00004731535,0.000004149992,0.000006582514,0.0003302925,0.000002736432,0.0002995471],"genre_scores_gemma":[0.9995425,0.0001162042,0.00005983734,0.00001126912,0.00001095059,0.000003631165,0.0001624139,7.7793e-7,0.00009250869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349259,"threshold_uncertainty_score":0.02682811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007591780902999332,"score_gpt":0.2546459386446617,"score_spread":0.2470541577416623,"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."}}