{"id":"W2763968816","doi":"","title":"Development of a predictive microRNA signature for node-negative breast cancer","year":2008,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Breast cancer; microRNA; Cancer; Medicine; Immunohistochemistry; Oncology; TaqMan; Internal medicine; Pathology; Cancer research; Biology; Real-time polymerase chain reaction; Gene; Genetics","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":[0.0009600922,0.0004255234,0.0004629728,0.001206608,0.0001890129,0.0005564025,0.0003340406,0.0003359506,0.001164835],"category_scores_gemma":[0.001858817,0.0001733169,0.0001940499,0.0005460495,0.0001807892,0.0002344716,0.0003327959,0.0002798436,0.0007120367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002182448,"about_ca_system_score_gemma":0.0003378485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003909553,"about_ca_topic_score_gemma":0.0007474832,"domain_scores_codex":[0.9996848,0.00007013418,0.00003614005,0.00008233571,0.00009937646,0.00002720971],"domain_scores_gemma":[0.9995316,0.0001444654,0.00009227781,0.00003496493,0.0001453389,0.00005142361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003115648,0.0002219196,0.5504156,0.0003837991,0.0001531674,0.0007416626,0.0002400013,0.002635374,0.2965049,0.0002985324,0.00238064,0.1429088],"study_design_scores_gemma":[0.000169012,0.00166191,0.7010457,0.0001192476,0.0006262367,0.00637803,0.0003805056,0.06749505,0.208848,0.0008397801,0.01236277,0.00007380301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803277,0.001431373,0.01440436,0.0001309069,0.00005473533,0.0001624855,0.00100389,0.0002414817,0.002243126],"genre_scores_gemma":[0.979449,0.0004113241,0.01785171,0.0000691623,0.00002470017,0.0001368903,0.00133746,0.00003426402,0.0006853565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206608,"threshold_uncertainty_score":0.005077541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785660871924357,"score_gpt":0.3613625606596431,"score_spread":0.3235059519403995,"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."}}