{"id":"W3214711012","doi":"10.1007/s11518-021-5515-3","title":"A New Theoretical Framework of Pyramid Markov Processes for Blockchain Selfish Mining","year":2021,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Blockchain; Markov chain; Markov process; Computer science; Pyramid (geometry); Markov model; Process (computing); Data mining; Mathematical optimization; Mathematical economics; Machine learning; Mathematics; Computer security; Statistics","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":[0.003728113,0.0006021283,0.001388343,0.001838407,0.001355188,0.002862711,0.003239207,0.001831401,0.006956528],"category_scores_gemma":[0.01379141,0.0006818235,0.001532351,0.00238,0.003217938,0.006739858,0.003219277,0.002809358,0.0007071802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002289139,"about_ca_system_score_gemma":0.002765224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004334631,"about_ca_topic_score_gemma":0.004042777,"domain_scores_codex":[0.998281,0.0006030264,0.00009315229,0.0003269552,0.000520535,0.0001753314],"domain_scores_gemma":[0.9927307,0.004727213,0.0005023966,0.0008756167,0.0008062042,0.000357978],"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":[0.00001336413,0.0000238386,0.0003241838,0.00003312099,0.00001872657,0.00005631384,0.0001011921,0.04250026,0.0003623926,0.9502859,0.0007654954,0.005515242],"study_design_scores_gemma":[0.000007160803,0.00001337445,0.00008820072,0.0000101958,0.000009056092,0.00002754231,0.00001774507,0.5034046,0.0001088955,0.4953101,0.0009937497,0.000009381413],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009023882,0.0001792132,0.9857718,0.0004981777,0.00004554501,0.00004400322,0.0001175117,0.00008919278,0.004230547],"genre_scores_gemma":[0.6977659,0.001338191,0.2863215,0.000498626,0.000501633,0.0004081189,0.0005146463,0.000179105,0.01247221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006956528,"threshold_uncertainty_score":0.02327186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007730609054382303,"score_gpt":0.2275328814931197,"score_spread":0.2198022724387374,"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."}}