{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004417926,0.0002465305,0.0002553933,0.0001440415,0.0004556855,0.00003329988,0.0001731674,0.0001060015,0.00005761582],"category_scores_gemma":[0.00008296969,0.0001923028,0.0001435191,0.0003357933,0.0001026737,0.00003632349,0.000007160992,0.00009640091,0.000008687346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001475879,"about_ca_system_score_gemma":0.0002172179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168439,"about_ca_topic_score_gemma":0.0001118306,"domain_scores_codex":[0.9984187,0.0001239173,0.0003916613,0.0003308523,0.0002822809,0.0004526253],"domain_scores_gemma":[0.9990547,0.0002626988,0.0001426607,0.0002521405,0.00003729644,0.0002504856],"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":[0.0002949806,0.00009541315,0.001022337,0.0006606205,0.0002088244,0.000005177573,0.01470721,0.7836435,0.01665438,0.171448,0.0002377876,0.01102185],"study_design_scores_gemma":[0.003904491,0.0002326811,0.0202369,0.000129828,0.0005901476,0.000008963528,0.002048516,0.9452049,0.01285894,0.0009066361,0.01328308,0.0005949179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161687,0.00112481,0.03258558,0.03407269,0.0002423858,0.003085415,0.0005488436,0.0007955843,0.01137598],"genre_scores_gemma":[0.996286,0.00008571595,0.0005428468,0.001887264,0.0006478974,0.0003767689,0.00006445012,0.00006284976,0.0000461456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705413,"threshold_uncertainty_score":0.7841882,"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."}}