{"id":"W2167264621","doi":"10.1016/s0140-9883(00)00057-8","title":"Measuring the influence of Canadian carbon stabilization programs on natural gas exports to the United States via a ‘bottom-up’ intertemporal spatial price equilibrium model","year":2000,"lang":"en","type":"article","venue":"Energy Economics","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Resources Canada; Johns Hopkins University; U.S. Environmental Protection Agency","keywords":"Natural gas; Economics; Supply and demand; Natural gas prices; Work (physics); Pipeline transport; Natural resource economics; Environmental science; Microeconomics; Environmental engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[0.000487099,0.000267018,0.0003723929,0.0005596383,0.0001467671,0.0001209983,0.0005427914,0.0001156583,0.00007646148],"category_scores_gemma":[0.00004197915,0.000239697,0.0001112267,0.000423035,0.00009530784,0.0001640496,0.0000768064,0.0002009387,0.00003034882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004454915,"about_ca_system_score_gemma":0.00007894077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3509059,"about_ca_topic_score_gemma":0.3158407,"domain_scores_codex":[0.9981025,0.0000277617,0.0008360051,0.0004536268,0.00003140741,0.0005486661],"domain_scores_gemma":[0.9987063,0.00006184599,0.0003612151,0.000626181,0.0000481281,0.0001962884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001148622,0.00005232125,0.01034049,0.00001865459,0.00005707622,9.809967e-7,0.004257641,0.9715928,0.000009066968,0.0101187,0.0001260957,0.003311289],"study_design_scores_gemma":[0.0002926727,0.000093774,0.001165692,0.00002426632,0.000007413846,0.000004531523,0.0001884226,0.9743682,0.0002563504,0.005990601,0.01725608,0.0003520215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934189,0.00009617748,0.0000870528,0.002568292,0.0003581996,0.0002946327,0.0001581582,0.00002984181,0.002988767],"genre_scores_gemma":[0.9969678,0.0004310992,0.00005560667,0.001699664,0.0001549332,0.00008408794,0.0002004266,0.00005253684,0.0003538632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03506523,"threshold_uncertainty_score":0.9774562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05530723590749595,"score_gpt":0.2077562015354257,"score_spread":0.1524489656279297,"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."}}