{"id":"W2018866297","doi":"10.2165/00019053-200422050-00002","title":"Longitudinal versus Cross-Sectional Methodology for Estimating the Economic Burden of Breast Cancer","year":2004,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Breast cancer; Cross-sectional study; Longitudinal study; Cross-sectional data; Reimbursement; Medicine; Health economics; Health administration; Health care; Quarter (Canadian coin); Medical Expenditure Panel Survey; Public health; Gerontology; Actuarial science; Cancer; Econometrics; Economics; Economic growth; Health insurance; Geography; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001129268,0.0002533693,0.0006052981,0.0001425818,0.0002430471,0.0001050532,0.0005376955,0.0001389255,0.0008919052],"category_scores_gemma":[0.00008819244,0.000270667,0.0003309609,0.00005681007,0.0002773736,0.0005204519,0.00009448003,0.0002051561,0.0002078176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072408,"about_ca_system_score_gemma":0.0002854118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003457538,"about_ca_topic_score_gemma":0.0001487045,"domain_scores_codex":[0.997814,0.00001420455,0.001126718,0.0005517238,0.00001946449,0.0004739112],"domain_scores_gemma":[0.9981833,0.0003676682,0.0009596552,0.000314042,0.00006165467,0.0001137136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001137273,0.00004284663,0.08355078,0.00007544778,0.0005324806,6.85013e-7,0.0004204618,0.6397876,0.0001352697,0.2699617,0.0006773306,0.003678109],"study_design_scores_gemma":[0.03238786,0.0005508419,0.3891708,0.00005923478,0.0002227615,0.0001249061,0.0002007301,0.1939857,0.004532717,0.3205051,0.05566145,0.002597889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549972,0.001242791,0.02682946,0.00213817,0.007904089,0.0005397902,0.003172043,0.00004222416,0.003134243],"genre_scores_gemma":[0.9838914,0.0002792281,0.01260732,0.0003041355,0.002503362,0.0001827917,0.00002291614,0.00005669451,0.0001521874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4458019,"threshold_uncertainty_score":0.9999745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505092119136746,"score_gpt":0.3983721534688663,"score_spread":0.2478629415551917,"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."}}