{"id":"W2030816376","doi":"10.1016/j.jmva.2015.02.011","title":"A bivariate Gompertz–Makeham life distribution","year":2015,"lang":"en","type":"article","venue":"Journal of Multivariate Analysis","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Gompertz function; Bivariate analysis; Applied mathematics; Context (archaeology); Distribution (mathematics); Limiting; Exponential function; Mathematical analysis; Statistics; Geography","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":[0.00535404,0.000560313,0.0009670031,0.002728773,0.0008379798,0.00192367,0.001343543,0.001263098,0.01760001],"category_scores_gemma":[0.02720907,0.0003152722,0.001207592,0.002038192,0.001785152,0.002357021,0.001754233,0.002049001,0.0024723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007442112,"about_ca_system_score_gemma":0.0006175484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003042042,"about_ca_topic_score_gemma":0.001419578,"domain_scores_codex":[0.9983302,0.0008612969,0.0000649124,0.0003111864,0.0002098178,0.0002226485],"domain_scores_gemma":[0.9908765,0.005821363,0.0006246599,0.00129204,0.0008639429,0.0005215233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004593582,0.0002614782,0.05949249,0.0002405452,0.0003489863,0.002112094,0.003102256,0.03421198,0.002478295,0.7419367,0.01617689,0.1391789],"study_design_scores_gemma":[0.00008300726,0.000625093,0.08751207,0.0002784838,0.0003387596,0.006303921,0.003676525,0.378411,0.001808071,0.4797408,0.04097222,0.0002500197],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3537538,0.002627953,0.6064782,0.003262516,0.0002965599,0.0004415599,0.002102484,0.0006709897,0.03036605],"genre_scores_gemma":[0.9600502,0.001343446,0.02110099,0.0002766644,0.000233751,0.0002706852,0.001224339,0.0000913671,0.0154086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01760001,"threshold_uncertainty_score":0.05887789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04464775051709979,"score_gpt":0.3409539441279859,"score_spread":0.2963061936108861,"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."}}