{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001480172,0.0001979976,0.0002094886,0.000422959,0.0002139912,0.00009371882,0.0002575922,0.00007990042,0.00001435833],"category_scores_gemma":[0.00004642322,0.0001922745,0.00002758927,0.0006964418,0.0002798509,0.0003883418,0.0004373326,0.0001096758,0.000100454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002109021,"about_ca_system_score_gemma":0.000003241291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001072013,"about_ca_topic_score_gemma":0.000004893893,"domain_scores_codex":[0.9989339,0.000006817637,0.0001971533,0.0003033741,0.000158793,0.0003999904],"domain_scores_gemma":[0.9993736,0.00002250198,0.0001362194,0.0003570325,0.0000964912,0.0000142292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000005992737,0.00006961897,0.05893064,0.0002939586,0.00003933142,0.000004752662,0.00002403531,0.000007746286,0.0002589062,0.8843986,0.0002885916,0.05567781],"study_design_scores_gemma":[0.002272261,0.00003666488,0.7567406,0.0006315971,0.000287532,0.00001197629,0.001701847,0.02742586,0.0004248637,0.1257793,0.08341518,0.00127229],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4613762,0.002621292,0.01068832,0.005328312,0.0009321009,0.001117074,5.094969e-7,0.001363947,0.5165723],"genre_scores_gemma":[0.9976574,0.00006222032,0.0006631503,0.0005240657,0.0001484307,0.000106832,0.000003107359,0.00001425495,0.0008205617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7586193,"threshold_uncertainty_score":0.7840725,"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."}}