{"id":"W4402980397","doi":"10.1109/otcon60325.2024.10687667","title":"Machine Learning-Enhanced Blockchain Solutions for Sustainable Energy Consumption and Carbon Footprint Tracking","year":2024,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Blockchain; Carbon footprint; Energy consumption; Footprint; Computer science; Consumption (sociology); Tracking (education); Environmental economics; Computer security; Greenhouse gas; Economics; Engineering","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":[0.001628599,0.0006119448,0.0006434583,0.0006840452,0.0008463435,0.001342974,0.001144881,0.00120588,0.005633761],"category_scores_gemma":[0.003051533,0.0002049385,0.0003647662,0.001081293,0.0005798957,0.004107808,0.001910667,0.001164855,0.001090059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033728,"about_ca_system_score_gemma":0.001921106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718288,"about_ca_topic_score_gemma":0.003510027,"domain_scores_codex":[0.9991558,0.0002607966,0.00004352637,0.000136651,0.0002675455,0.0001358259],"domain_scores_gemma":[0.9986468,0.0004834644,0.000148213,0.0002931432,0.0003329981,0.00009537217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003880016,0.0002756409,0.002226307,0.0003588479,0.00007633642,0.0003467639,0.0002098993,0.5575857,0.01262594,0.106353,0.007111016,0.3124426],"study_design_scores_gemma":[0.00002723592,0.00008325018,0.0002656253,0.00003891523,0.00001405825,0.00008219418,0.00006264678,0.9117941,0.004882842,0.07243551,0.01029473,0.00001887596],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05823378,0.001795828,0.918315,0.00221174,0.0002677994,0.0001785196,0.0003359834,0.00177199,0.01688936],"genre_scores_gemma":[0.8874156,0.001152889,0.1018611,0.0002520536,0.00007114906,0.0001509693,0.0004229179,0.0001067579,0.008566605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005633761,"threshold_uncertainty_score":0.01884687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468541132521294,"score_gpt":0.2435166020271231,"score_spread":0.2288311907019102,"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."}}