{"id":"W2970781240","doi":"10.1016/j.neo.2019.07.011","title":"MCM2, MCM4, and MCM6 in Breast Cancer: Clinical Utility in Diagnosis and Prognosis","year":2019,"lang":"en","type":"article","venue":"Neoplasia","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal","funders":"University of California, Santa Cruz","keywords":"Tissue microarray; Breast cancer; Oncology; Triple-negative breast cancer; Immunohistochemistry; Internal medicine; Medicine; Cancer; Cancer research; Pathology","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":[0.00103362,0.0005290133,0.000319081,0.001813799,0.0001959973,0.0009233402,0.0004249221,0.0005856962,0.001402811],"category_scores_gemma":[0.001957062,0.0001644317,0.0002774442,0.001282806,0.0003297413,0.0003271099,0.0004815129,0.0004599612,0.0004145761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646779,"about_ca_system_score_gemma":0.0003837111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003455016,"about_ca_topic_score_gemma":0.004892237,"domain_scores_codex":[0.9996942,0.00009476021,0.00002115129,0.00004917408,0.0001049711,0.00003583647],"domain_scores_gemma":[0.9993802,0.0001976383,0.0001928775,0.00004420315,0.0001128418,0.00007224233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003574484,0.0000866337,0.6564826,0.0008689879,0.0004310886,0.0005861631,0.0002004278,0.007608517,0.06514532,0.001089627,0.002983177,0.260943],"study_design_scores_gemma":[0.000108392,0.0006459996,0.8619249,0.0003396533,0.0004829888,0.002759234,0.0003930223,0.05444276,0.04502022,0.003448294,0.03029822,0.0001361901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227474,0.05853787,0.009283225,0.001575982,0.0001251001,0.00007605679,0.002568066,0.0002058702,0.0048805],"genre_scores_gemma":[0.9873274,0.005887675,0.004459288,0.00006305421,0.00008380863,0.0000207527,0.001187405,0.00001298489,0.0009575433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003455016,"threshold_uncertainty_score":0.006869793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795519356548136,"score_gpt":0.3088390735399279,"score_spread":0.2908838799744465,"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."}}