{"id":"W4403674286","doi":"10.2139/ssrn.4957441","title":"Interplay Between Indemnity and Index Insurance in a General Equilibrium Model","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Indemnity; Index (typography); Actuarial science; Economics; General equilibrium theory; Econometrics; Microeconomics; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00283491,0.0004205557,0.0008934173,0.000822233,0.00008216108,0.0002749119,0.000582038,0.0004560331,0.000009271826],"category_scores_gemma":[0.00005780731,0.0004810331,0.0002403681,0.0002833539,0.00007777649,0.0002120356,0.001045259,0.00735229,0.00008666872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157819,"about_ca_system_score_gemma":0.0008772282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007384805,"about_ca_topic_score_gemma":0.001041382,"domain_scores_codex":[0.9958031,0.00003484328,0.001173798,0.0007689734,0.0001000337,0.002119263],"domain_scores_gemma":[0.9989444,0.00002103674,0.00054202,0.0003603062,0.00003576001,0.00009648243],"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":[0.00006530774,0.00006952824,0.4323514,0.0001910841,0.000319196,0.00002093195,0.0006784898,0.0081712,0.000002711696,0.54167,0.000131541,0.0163286],"study_design_scores_gemma":[0.0005172279,0.00007443967,0.05311578,0.0001442291,0.00001544856,0.00001926937,0.0000546344,0.02940351,0.000002187153,0.9155438,0.0006372571,0.0004722472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556658,0.02490869,0.01267943,0.0007327971,0.0007335215,0.0003363521,0.0001968679,0.00003877962,0.004707756],"genre_scores_gemma":[0.9835433,0.01376485,0.0001247983,0.0001229222,0.0006454061,0.00003813496,0.00001660983,0.00006918178,0.001674808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3792357,"threshold_uncertainty_score":0.9997641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901180207899417,"score_gpt":0.2560581688191976,"score_spread":0.2370463667402034,"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."}}