{"id":"W4399431719","doi":"10.2139/ssrn.4855376","title":"Environmental Contributions of BTCEN Project: Sustainability with Blockchain","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"George Brown College","funders":"","keywords":"Blockchain; Sustainability; Environmental resource management; Environmental science; Computer science; Computer security; Ecology; Biology","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":[0.002470558,0.0002498354,0.0002316303,0.0006936808,0.0006933322,0.001418645,0.0004992256,0.001057755,0.01314361],"category_scores_gemma":[0.006678038,0.0001037833,0.0002520863,0.0008508547,0.0004499875,0.001912019,0.002005007,0.0008048064,0.001037574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009551871,"about_ca_system_score_gemma":0.002160726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005951092,"about_ca_topic_score_gemma":0.004843743,"domain_scores_codex":[0.9989246,0.0004809503,0.00002531696,0.00009261697,0.0003052531,0.0001713122],"domain_scores_gemma":[0.9974898,0.0009188968,0.0001348744,0.000427,0.0005450834,0.0004843663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002535058,0.0007538731,0.02420985,0.0004902291,0.0001371917,0.001168549,0.0006449879,0.2403033,0.005913467,0.4205361,0.07690804,0.2263993],"study_design_scores_gemma":[0.0003366846,0.0005388832,0.01264358,0.0001474733,0.0001185229,0.0004245354,0.000789028,0.5136279,0.009337606,0.3370999,0.1248505,0.00008534595],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6958731,0.00119832,0.04565021,0.006739077,0.0006039525,0.000270657,0.003073061,0.000721009,0.2458705],"genre_scores_gemma":[0.9756752,0.0002947486,0.004954444,0.00006979055,0.00006228107,0.0000575032,0.0009553626,0.00008022163,0.01785064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314361,"threshold_uncertainty_score":0.04396969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007168309947613821,"score_gpt":0.2090671470601013,"score_spread":0.2018988371124875,"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."}}