{"id":"W2953595023","doi":"10.1038/s41523-019-0113-y","title":"LobSig is a multigene predictor of outcome in invasive lobular carcinoma","year":2019,"lang":"en","type":"article","venue":"npj Breast Cancer","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency; Cancer Council Queensland; National Health and Medical Research Council; Medical Research Council; Metro North Hospital and Health Service; Cancer Institute NSW; National Breast Cancer Foundation; Cancer Research UK","keywords":"Nottingham Prognostic Index; Invasive lobular carcinoma; Oncology; Internal medicine; Medicine; Proportional hazards model; Breast cancer; Estrogen receptor; Gene expression profiling; Bioinformatics; Cancer; Gene; Biology; Gene expression; Genetics; Invasive ductal carcinoma","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":[0.000637611,0.0003949687,0.000401375,0.0008769667,0.0002923601,0.0006761521,0.0002741218,0.0003462197,0.002359055],"category_scores_gemma":[0.00116505,0.0001227988,0.0006537323,0.001129799,0.0002235956,0.000314408,0.0006564958,0.0003939547,0.000283298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000300181,"about_ca_system_score_gemma":0.0002503015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001284497,"about_ca_topic_score_gemma":0.001875018,"domain_scores_codex":[0.9998186,0.00004706872,0.00001258589,0.00005506661,0.00003208373,0.00003452655],"domain_scores_gemma":[0.9992742,0.0002830338,0.0001782746,0.00008242788,0.00005989623,0.0001221296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005978315,0.00002659927,0.989356,0.00004419224,0.0003061406,0.0001192523,0.00002634715,0.0006032615,0.003728006,0.00005165207,0.0002825819,0.004858111],"study_design_scores_gemma":[0.00001948115,0.0001698839,0.991392,0.00001808871,0.0005054416,0.0004357093,0.0001225079,0.004399837,0.001829652,0.0003892072,0.0007075371,0.00001063178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966663,0.0007303241,0.000700548,0.0001007549,0.00001058608,0.000006028686,0.001293609,0.0000366139,0.0004552672],"genre_scores_gemma":[0.9984751,0.00008892646,0.0002620155,0.00002156339,0.000008410636,0.000006323526,0.0009413921,0.000006184669,0.0001900573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002359055,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117759063605308,"score_gpt":0.2577401540726026,"score_spread":0.2459642477120718,"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."}}