{"id":"W4401720834","doi":"10.1109/icbc59979.2024.10634368","title":"Second Layer Network Impact on Bitcoin Mining Fees and Network Value","year":2024,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Winnipeg; University of Manitoba","funders":"","keywords":"Layer (electronics); Value (mathematics); Computer science; Cryptocurrency; Computer network; Computer security; Chemistry; Machine learning","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":[0.002170828,0.0004551558,0.0004117329,0.001070047,0.0007518915,0.004221427,0.0007657869,0.001096006,0.009436834],"category_scores_gemma":[0.01461791,0.0001758666,0.0003124287,0.001056026,0.001377949,0.007577747,0.002444675,0.001608793,0.0008188385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002340448,"about_ca_system_score_gemma":0.001027266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00326614,"about_ca_topic_score_gemma":0.003471078,"domain_scores_codex":[0.9983311,0.0004775483,0.00005294415,0.0001685655,0.0005271675,0.0004426445],"domain_scores_gemma":[0.9873058,0.007044649,0.001982709,0.0009316477,0.001961664,0.0007736266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001253878,0.000564102,0.1384642,0.0003714395,0.0001653308,0.001555942,0.001173645,0.2099238,0.02169798,0.4922462,0.006777706,0.1258057],"study_design_scores_gemma":[0.00008950591,0.0007486523,0.07618153,0.0002947933,0.0001897113,0.001700664,0.0027649,0.6239821,0.02301872,0.2453343,0.02548802,0.0002070948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8897307,0.0010987,0.0371835,0.002048673,0.00007939945,0.0000708091,0.0004017582,0.0002081324,0.06917836],"genre_scores_gemma":[0.9966139,0.0001464725,0.001054357,0.00005060592,0.00001384429,0.00001125444,0.00005740497,0.00001618107,0.002035846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009436834,"threshold_uncertainty_score":0.03156942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065535800687918,"score_gpt":0.2595258492396615,"score_spread":0.2488704912327823,"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."}}