{"id":"W4388967086","doi":"10.1007/978-981-99-8104-5_11","title":"Long-Term Blockchain Transactions Spanning Multiplicity of Smart Contract Methods","year":2023,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Blockchain; Smart contract; Database transaction; Computer science; Distributed transaction; Atomicity; Term (time); Scope (computer science); Computer security; Transaction processing; Database; Programming language","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":[0.002365962,0.0004199879,0.0007901728,0.0008372547,0.001331489,0.002141502,0.001496572,0.001242338,0.01219251],"category_scores_gemma":[0.007267748,0.0004976677,0.0006125694,0.001708271,0.00182854,0.005750064,0.002712091,0.002413324,0.002018709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032153,"about_ca_system_score_gemma":0.001062311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953034,"about_ca_topic_score_gemma":0.0006612549,"domain_scores_codex":[0.9980881,0.0007024961,0.000124293,0.0002810495,0.0006086216,0.0001954174],"domain_scores_gemma":[0.9943873,0.002598673,0.0003260793,0.001741834,0.0006330575,0.0003131045],"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":[0.0002762962,0.00009679946,0.0005527892,0.0002302209,0.00004282468,0.0002185781,0.0004969416,0.03661479,0.005830444,0.8213816,0.003209143,0.1310495],"study_design_scores_gemma":[0.00004612859,0.0001556539,0.0003201938,0.00012474,0.00003270184,0.000275168,0.0001319282,0.2656751,0.00523826,0.7068335,0.02113444,0.00003211388],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07070784,0.001686527,0.8781149,0.0005114611,0.0001836935,0.0001870364,0.0001462622,0.0004392123,0.04802307],"genre_scores_gemma":[0.727451,0.001316311,0.2215419,0.0001420973,0.0001543779,0.0002881171,0.0003685461,0.000269048,0.04846857],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01219251,"threshold_uncertainty_score":0.04078805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04601045040134573,"score_gpt":0.3332421278213875,"score_spread":0.2872316774200418,"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."}}