{"id":"W3002670898","doi":"","title":"Insurable Losses, Pre-filled Claims Forms and Honesty in Reporting","year":2020,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wilfrid Laurier University; McMaster University","keywords":"Indemnity; Entitlement (fair division); Actuarial science; Dishonesty; Cheating; Payment; Purchasing; Outcome (game theory); Honesty; Business; Deception; Dice; Economics; Psychology; Social psychology; Finance; Marketing; Statistics; Microeconomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004495382,0.0003352228,0.0009382479,0.0003681776,0.0004890735,0.0003398399,0.0006300208,0.000525791,0.00005325292],"category_scores_gemma":[0.001780386,0.0003806798,0.0001427313,0.000213252,0.0009068833,0.0003024511,0.002149556,0.001832151,0.000008789127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390468,"about_ca_system_score_gemma":0.001010641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008688336,"about_ca_topic_score_gemma":0.02811636,"domain_scores_codex":[0.995397,0.0003320187,0.001683972,0.00124071,0.0002847179,0.001061554],"domain_scores_gemma":[0.9977783,0.0004216497,0.0008502321,0.0005648094,0.00008287614,0.0003021175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168209,0.0003073012,0.8877093,0.0002638655,0.00009505231,0.0002372267,0.03100891,0.0008736274,0.0004497934,0.004602029,0.00007821407,0.07415789],"study_design_scores_gemma":[0.006367676,0.0008171811,0.6247542,0.002298568,0.0000615254,0.00004206148,0.17714,0.006553676,0.002110573,0.1122536,0.06188779,0.005713123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576464,0.0003826317,1.919606e-7,0.001187043,0.0002838306,0.001195202,0.00002323377,0.00005297384,0.1392285],"genre_scores_gemma":[0.9805933,0.01718405,0.0004534172,0.00006561025,0.0001617418,0.0004275342,0.00002671159,0.00005597205,0.001031625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2629551,"threshold_uncertainty_score":0.9998645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08695535430881374,"score_gpt":0.4027797021239654,"score_spread":0.3158243478151516,"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."}}