{"id":"W3107723712","doi":"10.1080/14693062.2020.1851641","title":"A blockchain-based emissions trading system for the road transport sector: policy design and evaluation","year":2020,"lang":"en","type":"article","venue":"Climate Policy","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Shanghai Office of Philosophy and Social Science; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Greenhouse gas; Midstream; Upstream (networking); Transparency (behavior); Emissions trading; Traceability; Environmental economics; Business; Downstream (manufacturing); Environmental science; Computer science; Economics; Telecommunications; Environmental engineering; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.009481194,0.0009954836,0.0009316689,0.0009755465,0.0009001212,0.00195469,0.001482722,0.001926905,0.004514434],"category_scores_gemma":[0.01334527,0.0004724519,0.0004217451,0.0009708377,0.001261806,0.003445757,0.001717304,0.001457217,0.0004077684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004788157,"about_ca_system_score_gemma":0.007324983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009201289,"about_ca_topic_score_gemma":0.005159841,"domain_scores_codex":[0.994951,0.003053396,0.0002103075,0.0003353535,0.0008139684,0.0006359392],"domain_scores_gemma":[0.9850683,0.009974034,0.0007247387,0.0007898221,0.002729233,0.000713954],"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":[0.001271532,0.001137243,0.003748163,0.0008443101,0.00007683368,0.0002007711,0.0001851415,0.9179308,0.002892794,0.02810501,0.001257565,0.04234979],"study_design_scores_gemma":[0.0002680114,0.0007307163,0.0004924688,0.00004486437,0.00004640476,0.00002411505,0.000175003,0.9896237,0.002404298,0.004794634,0.001379207,0.00001659657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7043226,0.001406328,0.2647173,0.002263529,0.0002148151,0.00460088,0.0008629757,0.0008474367,0.02076422],"genre_scores_gemma":[0.9535441,0.0005929815,0.04310795,0.0001161118,0.00002048584,0.0007792621,0.0002341825,0.00002466339,0.001580324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009481194,"threshold_uncertainty_score":0.05014193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05566021985410415,"score_gpt":0.2958971756612045,"score_spread":0.2402369558071004,"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."}}