{"id":"W2183901607","doi":"","title":"An iterative method of estimating excess death rates and mortality ratios.","year":2000,"lang":"en","type":"article","venue":"PubMed","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Statistics; Mortality rate; Excess mortality; Mathematics; Population; Econometrics; Demography; Medicine; Internal medicine","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":[0.02476975,0.00157349,0.001720878,0.006082086,0.0007914871,0.001977531,0.002637532,0.001189143,0.009793595],"category_scores_gemma":[0.1316201,0.0009135733,0.002641252,0.003904695,0.001131678,0.001583329,0.00243016,0.002180479,0.003473673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050342,"about_ca_system_score_gemma":0.003173541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002868473,"about_ca_topic_score_gemma":0.003118847,"domain_scores_codex":[0.9712497,0.02157254,0.001738923,0.00201679,0.003157522,0.0002645849],"domain_scores_gemma":[0.9592485,0.0306759,0.002279527,0.003760427,0.00384192,0.0001936771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006504563,0.000273095,0.0166657,0.001531,0.002740846,0.0002133063,0.0009030878,0.03373935,0.003767015,0.06742151,0.01234576,0.8597489],"study_design_scores_gemma":[0.0006539855,0.001298765,0.02935015,0.001143218,0.002026224,0.004008128,0.0008129865,0.6009828,0.01640007,0.2433712,0.09950668,0.0004457183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001217081,0.0001364495,0.9967489,0.00005239924,0.0000539257,0.0003681224,0.0002127783,0.0003842561,0.0008260962],"genre_scores_gemma":[0.01377122,0.000110014,0.9826835,0.00004508768,0.00003639901,0.001792758,0.0003777821,0.0001621664,0.001021076],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02476975,"threshold_uncertainty_score":0.1309965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543926280626245,"score_gpt":0.363815909410572,"score_spread":0.3183766466043095,"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."}}