{"id":"W2040047285","doi":"10.7122/151387-ms","title":"Efficiency and Compliance Regulations: Side Effects","year":2012,"lang":"en","type":"article","venue":"Carbon Management Technology Conference","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compliance (psychology); Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03397165,0.001200197,0.0007942231,0.003512236,0.004452385,0.009771738,0.0036894,0.01575288,0.03522769],"category_scores_gemma":[0.1027062,0.001253616,0.002308596,0.003371446,0.006913093,0.0069427,0.005432696,0.01397738,0.007384404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006959237,"about_ca_system_score_gemma":0.01014089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0192383,"about_ca_topic_score_gemma":0.01181298,"domain_scores_codex":[0.8855224,0.03184678,0.00543126,0.008062173,0.06156878,0.007568476],"domain_scores_gemma":[0.7633694,0.1397821,0.0151723,0.0225148,0.05677966,0.002381699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001763078,0.0006301561,0.008955235,0.0005675898,0.0001168185,0.0008468864,0.001463332,0.002628902,0.00169294,0.6708992,0.2087803,0.1032424],"study_design_scores_gemma":[0.0002224183,0.0005640091,0.02249559,0.003006299,0.0003212188,0.001102706,0.00166107,0.004469219,0.008270738,0.1314341,0.82612,0.0003325514],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02608895,0.003967042,0.02045514,0.06133107,0.002527924,0.0005675823,0.001250659,0.0008818739,0.8829297],"genre_scores_gemma":[0.5650908,0.003890436,0.01242664,0.1995854,0.003264094,0.001455813,0.001359801,0.0008343121,0.2120927],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03522769,"threshold_uncertainty_score":0.1796614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947917855817891,"score_gpt":0.2456070474509728,"score_spread":0.2161278688927939,"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."}}