{"id":"W3024880065","doi":"10.1017/9781108784184.019","title":"Estimating survival models","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Actuarial science; Life insurance; Cash flow; Computer science; Finance; Economics","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":[0.007260269,0.001482739,0.001752289,0.003281553,0.00062145,0.003023051,0.002037134,0.001786045,0.027879],"category_scores_gemma":[0.02695649,0.001039068,0.002511804,0.00332841,0.0006894755,0.002931092,0.002011575,0.002607858,0.008934454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001278355,"about_ca_system_score_gemma":0.001421389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006240679,"about_ca_topic_score_gemma":0.005612726,"domain_scores_codex":[0.9975054,0.001402617,0.0001208225,0.0005172302,0.0002881649,0.0001658302],"domain_scores_gemma":[0.9863085,0.0113614,0.0004762242,0.0009896201,0.0007027735,0.0001615648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000206137,0.0001282041,0.01869557,0.0005101422,0.0004994576,0.0002226098,0.0004209726,0.4262316,0.0004241437,0.1238318,0.02812754,0.4007019],"study_design_scores_gemma":[0.00002565742,0.00008732516,0.002932576,0.0002282121,0.00009361708,0.0001649276,0.0001699038,0.8139213,0.0003096595,0.1654056,0.01661792,0.00004339795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01582331,0.002393114,0.9673651,0.0007487249,0.0002434477,0.0001527695,0.004531452,0.001457567,0.007284516],"genre_scores_gemma":[0.4286292,0.008877494,0.4837655,0.000504861,0.0009128827,0.001295068,0.03292309,0.001034425,0.04205746],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.027879,"threshold_uncertainty_score":0.09326452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140841057448921,"score_gpt":0.2453051087599895,"score_spread":0.2038966981855003,"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."}}