{"id":"W2117059045","doi":"10.1007/s10640-004-4222-0","title":"Production of Chlorofluorocarbons in Anticipation of the Montreal Protocol","year":2005,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Negotiation; Production (economics); Economics; Anticipation (artificial intelligence); Incentive; Ozone layer; Microeconomics; Cournot competition; Chlorofluorocarbon; Stratosphere; Computer science; Chemistry; Meteorology","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":[0.0002203784,0.00009076321,0.0002265318,0.00008361108,0.00003788339,0.000006110063,0.0001010631,0.00006980055,0.00007047105],"category_scores_gemma":[0.00001020381,0.00008797808,0.00005810233,0.00003209341,0.0001408763,0.0001085946,0.00008339124,0.00007744265,0.00001547211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009370514,"about_ca_system_score_gemma":0.000003622813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204439,"about_ca_topic_score_gemma":0.0002254784,"domain_scores_codex":[0.9991061,0.000008729527,0.0005358209,0.0002062535,0.00001124327,0.0001318234],"domain_scores_gemma":[0.9993894,0.00001347211,0.0003709417,0.0001986823,8.403372e-7,0.0000266605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001530882,0.0005825876,0.9656879,0.0001157145,0.00004519423,1.614873e-7,0.005281669,0.004989398,0.001304373,0.01102487,0.0001408885,0.01067419],"study_design_scores_gemma":[0.001244967,0.00007706718,0.9483618,0.00002731756,0.00000668873,0.000005782316,0.0005512753,0.004922468,0.008891999,0.004395395,0.03127269,0.0002425644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916835,0.00008389571,0.000001530766,0.0005589796,0.00005190685,0.003373814,0.00006767632,0.000003103178,0.004175559],"genre_scores_gemma":[0.9985264,0.0001422566,0.00006054283,0.00005923558,0.00008414774,0.0008166575,0.00000562668,0.00001174178,0.0002933818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0311318,"threshold_uncertainty_score":0.3587642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516127907208792,"score_gpt":0.2053928206424097,"score_spread":0.1802315415703218,"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."}}