{"id":"W4214716873","doi":"10.1016/j.insmatheco.2022.02.007","title":"Optimal long-term contracts with disability insurance under limited commitment","year":2022,"lang":"en","type":"article","venue":"Insurance Mathematics and Economics","topic":"Financial Literacy, Pension, Retirement Analysis","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Disability insurance; Salary; Shock (circulatory); Commit; Term (time); Actuarial science; Business; Disability benefits; Labour economics; Economics; Social security; Medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004011999,0.0002598678,0.0004401841,0.00008690018,0.0004877544,0.0002897908,0.000253956,0.00003946929,0.0002170589],"category_scores_gemma":[0.00002638012,0.0002404275,0.00008757629,0.0002288323,0.000151129,0.0006222002,0.0002693503,0.0001768585,0.0000319553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001130896,"about_ca_system_score_gemma":0.00001771842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001034251,"about_ca_topic_score_gemma":0.0002406599,"domain_scores_codex":[0.9986367,0.00001056813,0.0004949234,0.0003822808,0.0001678779,0.0003077017],"domain_scores_gemma":[0.9989503,0.00008709398,0.0004385912,0.0004214887,0.00007774377,0.00002475479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008992555,0.0004135827,0.980576,0.0001735729,0.00003748767,0.000006784702,0.0001285021,0.006640611,0.00001609408,0.01110826,0.00005504468,0.0007540865],"study_design_scores_gemma":[0.001029371,0.0000388198,0.9773691,0.00004693466,0.00006329702,0.00000943074,0.0002150793,0.01739729,0.0000134062,0.002002849,0.001408538,0.0004058453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980682,0.0001134838,0.0000811646,0.0002924893,0.0001527228,0.0004148374,0.00004371228,0.00005993583,0.0007734788],"genre_scores_gemma":[0.9977036,0.00005010908,0.001050514,0.0007826156,0.0001568174,0.0000818827,0.00006866424,0.00003843239,0.00006737551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01075668,"threshold_uncertainty_score":0.980435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01855821418663563,"score_gpt":0.2142930402238482,"score_spread":0.1957348260372125,"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."}}