{"id":"W4387498563","doi":"10.1080/03461238.2023.2264555","title":"Two hybrid models for dependent death times of couple: a common shock approach","year":2023,"lang":"en","type":"article","venue":"Scandinavian Actuarial Journal","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Copula (linguistics); Life insurance; Econometrics; Actuarial science; Shock (circulatory); Bivariate analysis; Function (biology); Wife; Event (particle physics); Survival function; Economics; Mathematics; Computer science; Statistics; Law; Survival analysis; Physics; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.003675183,0.001145895,0.001614019,0.001963628,0.0005951401,0.002160432,0.003622701,0.003171231,0.006826893],"category_scores_gemma":[0.006746273,0.000811093,0.002502281,0.001387977,0.001740879,0.003012467,0.002997297,0.002985884,0.0007698976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012428,"about_ca_system_score_gemma":0.000780373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006712082,"about_ca_topic_score_gemma":0.004033434,"domain_scores_codex":[0.9988444,0.0005360213,0.00005767804,0.0002190453,0.0001659278,0.0001769608],"domain_scores_gemma":[0.9961782,0.001900541,0.0007103721,0.0003941279,0.0003620605,0.0004547187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00010929,0.0001281766,0.005988515,0.00007566301,0.0002183394,0.0006232788,0.0004706436,0.6932392,0.0008755151,0.2817041,0.001940711,0.01462671],"study_design_scores_gemma":[0.00002453701,0.00003574819,0.0006606124,0.00001155971,0.00003989745,0.00008155008,0.00004702993,0.9559975,0.00008495222,0.04217912,0.0008023804,0.00003499543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386537,0.001055877,0.8491929,0.00154624,0.0001625174,0.0001336958,0.0005152174,0.0001876684,0.008552333],"genre_scores_gemma":[0.9396764,0.0008013035,0.03916225,0.0003088107,0.0002625729,0.0002254622,0.0004370019,0.00009018147,0.01903607],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006826893,"threshold_uncertainty_score":0.02283829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04506163172093235,"score_gpt":0.3345193185115907,"score_spread":0.2894576867906584,"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."}}