{"id":"W2111665889","doi":"10.1068/c0404j","title":"Europeanisation and the Uneven Convergence of Environmental Policy: Explaining the Geography of EMAS","year":2004,"lang":"en","type":"article","venue":"Environment and Planning C Government and Policy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; European Commission","keywords":"Europeanisation; Convergence (economics); Economic geography; Context (archaeology); Audit; Civil society; Political science; Regional science; Economic system; Politics; European union; Economics; Geography; Economic growth; Accounting; International trade","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004321473,0.0001364652,0.0002448332,0.00006056204,0.0001572599,0.0000235368,0.00009839392,0.00004330802,0.00003618634],"category_scores_gemma":[0.0000316231,0.0001056212,0.00005098111,0.00004493754,0.0004807488,0.0000966427,0.0001445837,0.00008046725,0.000006144931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005534838,"about_ca_system_score_gemma":0.000005008156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005877744,"about_ca_topic_score_gemma":0.000003009217,"domain_scores_codex":[0.9991853,0.00002101418,0.0003671494,0.0001934415,0.00005860674,0.0001745206],"domain_scores_gemma":[0.9993231,0.0001123459,0.0003519275,0.0001618515,7.352964e-7,0.00005000827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001735785,0.00006915764,0.6051239,0.00006559899,0.000157912,0.000001226374,0.02312744,0.000420553,0.0003155624,0.3687429,0.00004391692,0.001758253],"study_design_scores_gemma":[0.003317376,0.0001833744,0.9493099,0.00005333537,0.00004126823,0.00001419213,0.003733947,0.0005311833,0.0006941523,0.03169664,0.01008985,0.0003348136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915476,0.002932093,0.00009017635,0.00215147,0.00003583709,0.0001675103,0.00032652,0.000003507712,0.002745271],"genre_scores_gemma":[0.9908586,0.00847628,0.00006981408,0.0003573238,0.0001297068,0.000008144043,0.000007611164,0.00001165097,0.00008092511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.344186,"threshold_uncertainty_score":0.4307109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248395972269308,"score_gpt":0.204960240454975,"score_spread":0.1801206432280442,"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."}}