{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02001602,0.0009625743,0.001067189,0.0004659505,0.0008687211,0.00291706,0.001723095,0.002519777,0.01084724],"category_scores_gemma":[0.1099241,0.001201052,0.0007060738,0.0003132011,0.003910386,0.002906458,0.001875018,0.002986477,0.001189233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052125,"about_ca_system_score_gemma":0.0009936289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005646158,"about_ca_topic_score_gemma":0.0006599482,"domain_scores_codex":[0.9812521,0.01121855,0.00156792,0.002488798,0.002557199,0.0009154559],"domain_scores_gemma":[0.7084576,0.2063531,0.05625363,0.02269369,0.002604573,0.003637416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.08109983,0.07535154,0.2222373,0.004629731,0.001237027,0.001478227,0.01297471,0.02205841,0.3142302,0.07687993,0.007157176,0.1806659],"study_design_scores_gemma":[0.01649145,0.1384993,0.4229582,0.001070855,0.001763702,0.002450197,0.004817721,0.06899422,0.1419402,0.1836491,0.0161352,0.001229882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980527,0.0002151641,0.008828825,0.0008152754,0.0001023401,0.0005411265,0.0002621517,0.00008517438,0.008622869],"genre_scores_gemma":[0.9847905,0.0001129011,0.01148985,0.0005370951,0.00006528643,0.0008856869,0.0001600243,0.00003889848,0.001919704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02001602,"threshold_uncertainty_score":0.1058561,"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."}}