{"id":"W3201288682","doi":"10.1002/int.22676","title":"EviChain: A scalable blockchain for accountable intelligent surveillance systems","year":2021,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scalability; Computer security; Byzantine fault tolerance; Context (archaeology); Overhead (engineering); Cryptography; Block (permutation group theory); Blockchain; Authentication (law); Distributed computing; Tamper resistance; Process (computing); Exploit; Vulnerability (computing); Embedded system; Fault tolerance; Database; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001901136,0.0002447509,0.0005277093,0.0003894777,0.0001322298,0.0005367037,0.00238528,0.0002020992,0.00002460766],"category_scores_gemma":[0.0004955041,0.0002219085,0.0002866896,0.0004699858,0.00006444436,0.0002199573,0.0002957575,0.0003301453,0.00003887181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003752869,"about_ca_system_score_gemma":0.0004196276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009301522,"about_ca_topic_score_gemma":0.00002103243,"domain_scores_codex":[0.9967971,0.0001554416,0.001395466,0.0004311546,0.0008437228,0.000377047],"domain_scores_gemma":[0.9937501,0.0004649711,0.0009489358,0.0006429042,0.004004878,0.0001882083],"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":[0.0001216284,0.001064213,0.003306018,0.0002554845,0.001556983,0.0003523969,0.001036881,0.04636655,0.003528445,0.8980964,0.0255203,0.01879463],"study_design_scores_gemma":[0.0009472828,0.0002725348,0.00008111173,0.0006430841,0.00003317984,0.00394274,0.001687465,0.4169849,0.02488104,0.00711514,0.5427939,0.00061772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01073308,0.01037783,0.9667603,0.003098486,0.007957009,0.0004577486,0.00004033177,0.00009382588,0.000481373],"genre_scores_gemma":[0.9909984,0.0005959744,0.005948133,0.0002390961,0.0008461803,0.0001064628,0.00001049915,0.00002430473,0.00123093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9802653,"threshold_uncertainty_score":0.9049168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112965990049477,"score_gpt":0.280248707412957,"score_spread":0.2591190475124622,"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."}}