{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001798435,0.0001250869,0.000272772,0.0002555233,0.00008509921,0.00001264657,0.00003682851,0.00004354863,0.00001151445],"category_scores_gemma":[0.000007449796,0.0001369427,0.00002187419,0.00005489634,0.00008423231,0.0001095285,0.00007852361,0.00003848141,0.000007830277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001614223,"about_ca_system_score_gemma":0.000005766155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002920222,"about_ca_topic_score_gemma":0.0002382113,"domain_scores_codex":[0.999235,0.000003768243,0.000273617,0.0002797973,0.00001181696,0.0001959371],"domain_scores_gemma":[0.9997184,0.00002220868,0.0001360511,0.00008934867,0.000006074913,0.00002796532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003805591,0.000458134,0.4922517,0.001750501,0.0004518154,0.00002079804,0.04822657,0.07094789,0.0001332488,0.3785987,0.0001396951,0.006640397],"study_design_scores_gemma":[0.0007204689,0.00002122625,0.202977,0.00009411317,0.00001166521,0.000005913704,0.0007538105,0.733296,0.00001139752,0.06133204,0.0004209509,0.0003554091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906678,0.006608048,0.0004012469,0.0009925141,0.00007840578,0.0001162966,0.00002061315,0.00001117582,0.001103892],"genre_scores_gemma":[0.9894328,0.009741301,0.0004657611,0.0001620369,0.0000357042,0.0000283674,0.000008838712,0.00001246308,0.0001127733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6623481,"threshold_uncertainty_score":0.5584363,"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."}}