{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074416,0.001064849,0.001245721,0.002159476,0.0003608754,0.00116943,0.001687159,0.001824343,0.003535495],"category_scores_gemma":[0.0009825068,0.0002444313,0.0006341935,0.001338951,0.001009898,0.00162304,0.001082552,0.003288938,0.002423944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100703,"about_ca_system_score_gemma":0.000838738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001116137,"about_ca_topic_score_gemma":0.002728207,"domain_scores_codex":[0.999649,0.00008247642,0.0000340933,0.0000412474,0.0001591247,0.00003404139],"domain_scores_gemma":[0.9997118,0.0001414374,0.00003840722,0.00001299201,0.00007086441,0.00002450174],"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":[0.00005281849,0.0001048501,0.0001226899,0.007745748,0.00009076767,0.0002955997,0.00007485059,0.0004219817,0.001453679,0.0114829,0.04913031,0.9290237],"study_design_scores_gemma":[0.00002070399,0.00006082188,0.0004210838,0.002605465,0.0000419676,0.001192286,0.00005103262,0.00007335785,0.0003440887,0.004207705,0.9909675,0.00001393448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001016061,0.9952769,0.0004980813,0.001374212,0.0006609058,0.000009037874,0.00001760253,0.00001439436,0.002047169],"genre_scores_gemma":[0.0006131139,0.9965019,0.0005885077,0.0008338527,0.0003624721,0.00001083695,0.00002996232,0.000002072127,0.001057275],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003535495,"threshold_uncertainty_score":0.01182747,"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."}}