{"id":"W2891855801","doi":"10.1093/yiel/yvx007","title":"Carbon Market Regulation: Markets and Laws","year":2015,"lang":"en","type":"article","venue":"Yearbook of International Environmental Law","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emissions trading; Liberian dollar; Convention; Carbon price; Clean Development Mechanism; Greenhouse gas; International economics; Carbon finance; Economics; Business; Government (linguistics); International trade; Finance; Political science; Law; China","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002046282,0.00007577986,0.000139381,0.00005699658,0.0000160405,0.00001676715,0.0001007898,0.00004772845,0.001296299],"category_scores_gemma":[0.00001213797,0.00009558661,0.00003400995,0.00001292162,0.0001166045,0.0001208671,0.00009110386,0.00004233153,0.0001023003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001151216,"about_ca_system_score_gemma":0.000002589034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002085223,"about_ca_topic_score_gemma":0.00001865259,"domain_scores_codex":[0.9994232,0.000005409138,0.0002721613,0.0001698675,0.00003619796,0.00009315737],"domain_scores_gemma":[0.9996495,0.00001822457,0.00014765,0.0001167947,0.000003050068,0.00006478922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001660513,0.0001526283,0.125654,0.00001825004,0.0001225366,0.000004249349,0.0006610112,0.00003401756,0.0002507677,0.8698989,0.002479742,0.0005578691],"study_design_scores_gemma":[0.002326348,0.0001198389,0.1999265,0.00003503514,0.00001138023,0.00003884624,0.0002737186,0.01463626,0.001307287,0.1181483,0.6626406,0.0005360139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.323084,0.0005169298,0.00001480787,0.0004961098,0.0002767506,0.00007040418,0.0002184445,0.000008434242,0.6753142],"genre_scores_gemma":[0.994246,0.0002041714,0.0004157283,0.0002470841,0.000126594,0.000006637749,0.00003292424,0.00001298563,0.004707841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7517506,"threshold_uncertainty_score":0.9996166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117260764948262,"score_gpt":0.2061619203998803,"score_spread":0.1649893127503977,"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."}}