{"id":"W1585777854","doi":"10.22004/ag.econ.6258","title":"Impact of EPA's Voluntary 33/50 Program on Pollution Prevention Adoption and Toxic Releases","year":2008,"lang":"en","type":"preprint","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution prevention; Endogeneity; Business; Turnover; Pollution; Program evaluation; Environmental health; Environmental science; Operations management; Engineering; Economics; Waste management; Medicine; Political science; Econometrics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002026575,0.0002265793,0.000399957,0.0005243318,0.0002561137,0.00004127671,0.0002344847,0.0001581705,0.0002927952],"category_scores_gemma":[0.00002437196,0.0002559759,0.0002936264,0.0002817252,0.0002884232,0.0006145835,0.0005072943,0.0002406999,0.00005435768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102773,"about_ca_system_score_gemma":0.00007223708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195418,"about_ca_topic_score_gemma":0.0004776193,"domain_scores_codex":[0.9987358,0.00004363072,0.0002090458,0.0004033922,0.0003723331,0.0002357271],"domain_scores_gemma":[0.9989119,0.00002756879,0.0004272203,0.0003009426,0.0003060533,0.00002629181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001935499,0.00264707,0.228897,0.003024868,0.001197779,0.00007021436,0.001273724,0.005711236,0.001142741,0.002699994,0.02091441,0.7304855],"study_design_scores_gemma":[0.0006917912,0.0002349442,0.9903154,0.0003788779,0.00009518979,0.000002573122,0.0007346235,0.004189261,0.00001276123,0.0004394411,0.002668901,0.0002361796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947891,0.0001722782,0.0002162024,0.0004164968,0.0001015356,0.0006824883,0.00003637867,0.00004595468,0.003539521],"genre_scores_gemma":[0.9968675,0.001236738,0.0005247492,0.00001838763,0.0001510779,0.000002238418,0.0001694115,0.00001371625,0.001016179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7614185,"threshold_uncertainty_score":0.9999893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05051601941202331,"score_gpt":0.2817491980858889,"score_spread":0.2312331786738656,"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."}}