{"id":"W2042056111","doi":"10.3747/co.21.2143","title":"Health System Costs for Stage-Specific Breast Cancer: A Population-Based Approach","year":2014,"lang":"en","type":"article","venue":"Current Oncology","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Institute for Clinical Evaluative Sciences; Occupational Cancer Research Centre; Health Sciences Centre; University Health Network; University of Toronto; McMaster University; Cancer Care Ontario; Sunnybrook Health Science Centre; St. Michael's Hospital; Western University","funders":"Institute for Clinical Evaluative Sciences; Cancer Care Ontario; Astellas Pharma; Bristol-Myers Squibb","keywords":"Medicine; Breast cancer; Stage (stratigraphy); Population; Cancer; Oncology; Gynecology; Bioinformatics; Internal medicine; Environmental health; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.002575215,0.0007467638,0.001048776,0.009157158,0.0004432455,0.002277714,0.001586441,0.001000075,0.003677593],"category_scores_gemma":[0.008416097,0.0005615416,0.00268496,0.009491239,0.0004064557,0.001349748,0.001207721,0.001266273,0.000299722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01035039,"about_ca_system_score_gemma":0.004331165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2185272,"about_ca_topic_score_gemma":0.2448224,"domain_scores_codex":[0.9977118,0.0008633161,0.0002057925,0.0003445276,0.0006004703,0.0002741441],"domain_scores_gemma":[0.9974657,0.0008484317,0.0009374813,0.00008869358,0.0004897006,0.0001700754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002058963,0.0002234768,0.9416916,0.0003469776,0.002713977,0.0002129867,0.0002253808,0.03390626,0.0001030198,0.004626512,0.003307229,0.01243662],"study_design_scores_gemma":[0.00007759789,0.0001522191,0.9206916,0.000232167,0.0006669505,0.0003386326,0.0006414089,0.06885049,0.0000871236,0.003210418,0.004996091,0.00005530872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9220527,0.007118947,0.00960482,0.002581519,0.0001306478,0.001076449,0.04960141,0.000117562,0.007715857],"genre_scores_gemma":[0.980736,0.001604394,0.003468865,0.0002284323,0.0001377601,0.0003699067,0.01248324,0.00002057558,0.0009508025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2185272,"threshold_uncertainty_score":0.4345105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1041781363563579,"score_gpt":0.3398426443180589,"score_spread":0.235664507961701,"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."}}