{"id":"W1575094570","doi":"10.1023/a:1013065801547","title":"Incentive Contracts and Environmental Performance Indicators","year":2001,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Stewardship (theology); Incentive; Principal (computer security); Damages; Business; Hazardous waste; Harm; Environmental stewardship; Action (physics); Measure (data warehouse); Moral hazard; Principal–agent problem; Environmental economics; Actuarial science; Risk analysis (engineering); Environmental resource management; Economics; Microeconomics; Finance; Computer science; Computer security; Engineering; Waste management","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":[0.01487603,0.000661804,0.0008592338,0.003000446,0.0006087929,0.004455259,0.0007338906,0.00213625,0.004715448],"category_scores_gemma":[0.0742178,0.000361579,0.0003837978,0.004681034,0.002853953,0.006811698,0.001566997,0.001806895,0.0003555752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001882766,"about_ca_system_score_gemma":0.001651697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008547588,"about_ca_topic_score_gemma":0.0006994818,"domain_scores_codex":[0.9924932,0.004975291,0.0004151743,0.0003663787,0.001292147,0.0004579059],"domain_scores_gemma":[0.9111991,0.06561136,0.01412432,0.002604796,0.004764444,0.001696017],"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":[0.000269467,0.0002092177,0.01964863,0.000168604,0.00007596651,0.00008270896,0.0002519061,0.03492969,0.0002666092,0.8974174,0.002114016,0.04456579],"study_design_scores_gemma":[0.00004071431,0.0001246342,0.01105973,0.0001096573,0.00004069276,0.0001177435,0.0003261283,0.07481218,0.0005848338,0.9074067,0.005329639,0.00004736628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5370167,0.007908447,0.3520169,0.008916884,0.0005164293,0.000179725,0.001003743,0.0002787689,0.09216241],"genre_scores_gemma":[0.9854686,0.0008934405,0.009595426,0.0001332002,0.0001061551,0.0000564218,0.0001377266,0.00001607788,0.003592935],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01487603,"threshold_uncertainty_score":0.07867289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384231576023954,"score_gpt":0.2244427092129062,"score_spread":0.2106003934526667,"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."}}