{"id":"W4385883412","doi":"10.1007/978-3-031-39774-5_82","title":"Blockchain: Architecture, Security and Consensus Algorithms","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Blockchain; Computer science; Decentralization; Architecture; Cryptography; Computer security; Consensus algorithm; Data science; Theoretical computer science; Political science; Geography","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":[0.0005593099,0.0006759727,0.0006299924,0.0006220639,0.0005800505,0.002327671,0.0008002921,0.001366884,0.009258779],"category_scores_gemma":[0.001341175,0.0004606048,0.0002730947,0.002374612,0.001270012,0.003187587,0.00094508,0.00155666,0.003649132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135255,"about_ca_system_score_gemma":0.00108348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037896,"about_ca_topic_score_gemma":0.0009672643,"domain_scores_codex":[0.9995877,0.00009356662,0.00001966584,0.00005963399,0.0001981708,0.00004131919],"domain_scores_gemma":[0.9995064,0.000233584,0.00003169233,0.00009036246,0.0001041151,0.00003383639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001225351,0.00005189547,0.0001744506,0.0004354891,0.00002468155,0.00008780807,0.0001470557,0.06685531,0.003561037,0.6720272,0.03922994,0.2172827],"study_design_scores_gemma":[0.00004031788,0.0000799651,0.0001786993,0.0001124073,0.00001397074,0.0001945131,0.00004982954,0.1422163,0.002571704,0.7210962,0.1334167,0.0000293895],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01631202,0.02943825,0.8037954,0.003044775,0.001205653,0.0001502906,0.000486081,0.001648739,0.1439188],"genre_scores_gemma":[0.4577703,0.03808728,0.2340949,0.0006608126,0.001851888,0.0004909036,0.001713414,0.0008629647,0.2644675],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009258779,"threshold_uncertainty_score":0.03097367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398005840811484,"score_gpt":0.2235594652828781,"score_spread":0.2095794068747633,"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."}}