{"id":"W4288262488","doi":"10.48550/arxiv.1908.05629","title":"A blockchain-based user-centric emission monitoring and trading system\\n for multi-modal mobility","year":2019,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Security token; Emissions trading; Database transaction; Environmental economics; Business; Computer science; Telecommunications; Industrial organization; Computer security; Database; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001445124,0.000477944,0.000551571,0.0004320831,0.001138864,0.001548044,0.001901336,0.001371168,0.007430739],"category_scores_gemma":[0.002272926,0.0003437136,0.0004083731,0.000563641,0.001040416,0.003177823,0.003607742,0.001296085,0.001762266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021829,"about_ca_system_score_gemma":0.002627171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004050366,"about_ca_topic_score_gemma":0.004825111,"domain_scores_codex":[0.9988273,0.000300542,0.00008974337,0.0002113755,0.000378939,0.0001919968],"domain_scores_gemma":[0.9987121,0.0002911576,0.000105091,0.0004096206,0.0002368074,0.0002452013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001796836,0.001158409,0.006228303,0.0006279261,0.000156111,0.002282709,0.001492091,0.2867735,0.07226858,0.2793692,0.02661065,0.3212357],"study_design_scores_gemma":[0.0001392006,0.0001950948,0.0004327434,0.00004336616,0.00002703978,0.0002587508,0.00008695847,0.9100769,0.01186479,0.04269895,0.03412682,0.00004935117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05321136,0.0004064363,0.9185331,0.0009205258,0.0002249847,0.0007491619,0.0004361658,0.006573054,0.01894524],"genre_scores_gemma":[0.8169543,0.0003447143,0.1625352,0.000303676,0.00008164377,0.0006089571,0.0006900292,0.0002406746,0.01824086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007430739,"threshold_uncertainty_score":0.0248583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06058431496899955,"score_gpt":0.2041031287415133,"score_spread":0.1435188137725138,"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."}}