{"id":"W2143573457","doi":"10.1186/bcr2923","title":"'Omic approaches to preventing or managing metastatic breast cancer","year":2011,"lang":"en","type":"review","venue":"Breast Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research; Biological and Environmental Research; National Institutes of Health; U.S. Department of Energy","keywords":"Surgical oncology; Breast cancer; Medicine; Metastatic breast cancer; Metastasis; Disease; Cancer; Oncology; Bioinformatics; Computational biology; Internal medicine; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001111921,0.0006277942,0.001173389,0.000433256,0.0002777198,0.000194255,0.001175594,0.0002930268,0.000712482],"category_scores_gemma":[0.00006969301,0.000509305,0.0004398478,0.0007759932,0.000176923,0.000009408394,0.001244959,0.0006736497,0.0001209315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004864692,"about_ca_system_score_gemma":0.002863441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003437177,"about_ca_topic_score_gemma":0.002076634,"domain_scores_codex":[0.9958098,0.0003946986,0.0006713178,0.001364686,0.0004862135,0.001273298],"domain_scores_gemma":[0.9978652,0.0001075271,0.0002506595,0.001048848,0.0002588569,0.0004689268],"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":[0.0002276736,0.0001129963,0.00003628571,0.007297582,0.0006069165,0.00002269145,0.00006256949,0.0000284342,0.000031655,0.0001376722,0.009126684,0.9823089],"study_design_scores_gemma":[0.0003429046,0.00009084678,0.00008957037,0.005881799,0.0004502177,0.0003672671,0.00006257222,0.00001161973,0.00004736074,0.00005217762,0.991891,0.0007127215],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001421176,0.9929306,0.00009281672,0.0005101177,0.000398489,0.001869785,0.003155854,0.00002097471,0.0008792733],"genre_scores_gemma":[0.000349636,0.9900789,0.0002871621,0.0001302414,0.001694681,0.003039923,0.0002216739,0.0002325524,0.003965182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9827642,"threshold_uncertainty_score":0.9997358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2996191236997203,"score_gpt":0.4276659676120683,"score_spread":0.128046843912348,"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."}}