{"id":"W2153932521","doi":"","title":"Carbon pricing in dynamic regulation and changing economic environment - agent based model","year":2011,"lang":"en","type":"article","venue":"Regional and Business Studies","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Environmental economics; Dynamic pricing; Business; Sustainability; Government (linguistics); Investment (military); Business model; Industrial organization; Asset (computer security); Complex adaptive system; Resource (disambiguation); Economics; Computer science; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004456589,0.0005761426,0.0007442835,0.0005163035,0.0007594035,0.001823517,0.001534656,0.001894839,0.004316745],"category_scores_gemma":[0.001654267,0.0003096818,0.000586012,0.0005895588,0.001585418,0.001092673,0.0009323877,0.001073337,0.0003213556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187004,"about_ca_system_score_gemma":0.001649584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06648389,"about_ca_topic_score_gemma":0.02828983,"domain_scores_codex":[0.9997533,0.00008701227,0.000009189718,0.00004829048,0.00005487775,0.00004742122],"domain_scores_gemma":[0.9994086,0.0002940934,0.00008997563,0.00002669964,0.0001018772,0.00007874623],"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":[0.00002033425,0.00001893236,0.0007493812,0.0000114103,0.00001453718,0.00007909448,0.00004885051,0.9727991,0.0002850117,0.02456095,0.0003539607,0.00105855],"study_design_scores_gemma":[0.000009362483,0.000007864417,0.0001593869,0.00000179783,0.000004747142,0.000007207069,0.0000180842,0.9960608,0.00002599807,0.003273037,0.000428183,0.000003564738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4471216,0.0006969161,0.4506696,0.003705262,0.0002385641,0.0002321425,0.0009768648,0.0006200895,0.09573889],"genre_scores_gemma":[0.97102,0.0002653756,0.01267368,0.00009926004,0.00002955879,0.0001216648,0.000121569,0.00002506195,0.01564376],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06648389,"threshold_uncertainty_score":0.1321938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1741414945896268,"score_gpt":0.2444702901266346,"score_spread":0.0703287955370078,"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."}}