{"id":"W2967524681","doi":"10.1109/fists46898.2020.9264892","title":"A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Greenhouse gas; Security token; Emissions trading; Database transaction; Environmental economics; Business; Telecommunications; Computer science; Industrial organization; Computer security; Database; Economics","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":[0.001670064,0.0004968435,0.0005291112,0.0006069518,0.0007613752,0.001342579,0.001632983,0.001105259,0.009392984],"category_scores_gemma":[0.002711058,0.0002943857,0.0002597683,0.000693544,0.000666339,0.002623718,0.002505423,0.0009193036,0.00271284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408031,"about_ca_system_score_gemma":0.001984373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002237604,"about_ca_topic_score_gemma":0.002450034,"domain_scores_codex":[0.9989096,0.000297605,0.00008219266,0.0001851223,0.0003773038,0.0001481949],"domain_scores_gemma":[0.9982201,0.0004030954,0.0001373608,0.0006256031,0.0003384456,0.0002753856],"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":[0.002863948,0.001886156,0.01571879,0.0009294964,0.0002572282,0.001830185,0.001440978,0.2125964,0.1062672,0.1103057,0.03515738,0.5107465],"study_design_scores_gemma":[0.0001927878,0.0004199035,0.001512183,0.00005064464,0.00004483154,0.0004148457,0.0001229318,0.8861769,0.02969668,0.02868742,0.05260193,0.00007902878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0880852,0.0003138671,0.8711887,0.000691207,0.0001672748,0.000880221,0.0009777485,0.01992625,0.01776945],"genre_scores_gemma":[0.8527579,0.000217398,0.1297279,0.0002015831,0.00007358386,0.0005185664,0.001432167,0.0004016336,0.0146692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009392984,"threshold_uncertainty_score":0.03142262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824348571805672,"score_gpt":0.2690368066172957,"score_spread":0.230793320899239,"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."}}