{"id":"W2144433527","doi":"10.1561/000.00000012","title":"The Environmental Goods and Services Industry","year":2008,"lang":"en","type":"article","venue":"","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; HEC Montréal","funders":"","keywords":"Subsidy; Goods and services; Negotiation; Order (exchange); Liberalization; Business; Environmental policy; Economics; Industrial organization; Natural resource economics; Economy; Finance; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115365,0.00007072439,0.000107216,0.00002783341,0.000291057,0.00003704317,0.0001043541,0.00009707161,0.0004125835],"category_scores_gemma":[0.000003234892,0.00006229155,0.00002692665,0.00002422769,0.00009541644,0.0001190414,0.00007492128,0.0001145005,0.0004810589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002683445,"about_ca_system_score_gemma":0.000001720288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002033172,"about_ca_topic_score_gemma":0.00006173193,"domain_scores_codex":[0.9994634,0.000002488827,0.0002012899,0.0001530206,0.00000760368,0.000172151],"domain_scores_gemma":[0.9996852,0.00003236431,0.00007642003,0.0001512858,5.974284e-7,0.00005414306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000701855,0.00003129173,0.8877942,0.000009418135,0.00002857934,0.000002290597,0.001212429,0.00000332671,0.00000938045,0.1091684,0.001019106,0.0007146278],"study_design_scores_gemma":[0.0005260701,0.0000443339,0.5689729,0.000003525258,0.000002754644,0.00007820225,0.001139305,0.001862991,0.0001216319,0.02184295,0.4050667,0.0003386227],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513989,0.001471732,0.000005670669,0.00112893,0.000110041,0.00004814517,0.00007098697,0.00001483812,0.04575073],"genre_scores_gemma":[0.9917309,0.004026174,0.00005298523,0.0008521503,0.00009789676,0.000007107794,0.000005854356,0.000009156531,0.00321781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4040476,"threshold_uncertainty_score":0.6183199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06520898648356668,"score_gpt":0.2086360714095727,"score_spread":0.1434270849260061,"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."}}