{"id":"W1559384717","doi":"10.2307/3069684","title":"Workers' Compensation, Moral Hazard and the Composition of Workplace Injuries","year":2002,"lang":"en","type":"article","venue":"The Journal of Human Resources","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"Compensation (psychology); Moral hazard; Composition (language); Hazard; Workers' compensation; Psychology; Environmental health; Actuarial science; Labour economics; Demographic economics; Business; Social psychology; Economics; Medicine; Incentive; Microeconomics; Biology; Art; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00212304,0.0003936422,0.0006540904,0.005808846,0.001256549,0.001790244,0.0009016245,0.001180737,0.006145837],"category_scores_gemma":[0.01671139,0.0003831422,0.0006231798,0.002635089,0.0007864727,0.001038002,0.001761519,0.001125205,0.0005775743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001551,"about_ca_system_score_gemma":0.001444236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023309,"about_ca_topic_score_gemma":0.03466087,"domain_scores_codex":[0.9981524,0.0003665407,0.0001616548,0.0001235241,0.0009618128,0.0002339573],"domain_scores_gemma":[0.9941599,0.001911376,0.001809676,0.0001248267,0.001198065,0.0007961109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004732925,0.000127255,0.9706311,0.0001298335,0.0001981564,0.0001424623,0.0004584002,0.0003014111,0.0002634533,0.0006429342,0.002539421,0.02409221],"study_design_scores_gemma":[0.00001376555,0.00005577341,0.9961479,0.000158528,0.00004131503,0.000384068,0.000848809,0.0002595883,0.00007256742,0.0008792804,0.001128479,0.000009900007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9131259,0.07234427,0.0007661901,0.007813768,0.0003762836,0.00006883766,0.001404609,0.00001087926,0.004089297],"genre_scores_gemma":[0.9799186,0.01659793,0.0003626347,0.0003727463,0.0003094685,0.00002673384,0.0008152374,0.000008742625,0.001587955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02023309,"threshold_uncertainty_score":0.04023063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07424763559432752,"score_gpt":0.4043929918860494,"score_spread":0.3301453562917219,"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."}}