{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0232616,0.0005035011,0.0006932004,0.002297639,0.0004330206,0.0009693676,0.001185232,0.001110572,0.003102741],"category_scores_gemma":[0.05352265,0.0004820054,0.001107554,0.002122068,0.0003534442,0.001043993,0.00093589,0.0009873473,0.0006580041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000418089,"about_ca_system_score_gemma":0.001419477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009383792,"about_ca_topic_score_gemma":0.007483435,"domain_scores_codex":[0.9935873,0.0050495,0.0003795678,0.0004501388,0.0002978489,0.0002355503],"domain_scores_gemma":[0.9647624,0.02512856,0.005043328,0.00308588,0.001195877,0.000783967],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004416799,0.0003299819,0.9393227,0.00008463723,0.001524374,0.0001426463,0.0002053137,0.007551401,0.0004297656,0.004016661,0.001265972,0.04468478],"study_design_scores_gemma":[0.0002012172,0.002450901,0.8255043,0.0002484687,0.001516986,0.001455603,0.001376264,0.1366208,0.00230447,0.01834846,0.009873751,0.0000987756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6175576,0.006166912,0.3635926,0.001773469,0.0003681246,0.0004065068,0.007350198,0.0003106671,0.002473982],"genre_scores_gemma":[0.913293,0.002673899,0.07084961,0.0004166649,0.000229623,0.0009915917,0.006269922,0.00005377272,0.005221897],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9767384,"threshold_uncertainty_score":0.1230206,"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."}}