{"id":"W3154141271","doi":"10.1145/3446373","title":"Blockchain-empowered Data-driven Networks","year":2021,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Guangdong Provincial Pearl River Talents Program; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Blockchain; Computer science; Cryptocurrency; Provisioning; Computer security; Data science; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.004626017,0.0006919577,0.002222596,0.0002862094,0.000469698,0.0003327763,0.01554027,0.0009412425,0.00001550758],"category_scores_gemma":[0.0006711069,0.0006635994,0.0003858718,0.002218544,0.0001521455,0.00008304868,0.01587741,0.001540271,0.00009301119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009519885,"about_ca_system_score_gemma":0.0004682457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005985273,"about_ca_topic_score_gemma":0.00003413625,"domain_scores_codex":[0.9933561,0.002222862,0.001099789,0.002156245,0.0003551125,0.0008098977],"domain_scores_gemma":[0.9851108,0.00214944,0.0007508236,0.01162463,0.0002021967,0.0001621654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[5.056221e-8,0.00007285237,0.00001176514,0.0004231901,0.0001664204,0.00004774961,0.00002669632,0.0001463986,9.896465e-9,0.006938568,0.003833252,0.988333],"study_design_scores_gemma":[0.00009661863,0.00001658782,0.00001776229,0.002007724,0.000113037,0.0001403579,0.000003099593,0.1750641,9.195591e-8,0.0003573305,0.821516,0.000667288],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001959228,0.5958903,0.402235,0.0001209054,0.0005997025,0.0003546799,0.00003139429,0.0006788043,0.00008719979],"genre_scores_gemma":[0.0002423146,0.939061,0.059228,0.0000927621,0.0003672675,0.00003188819,0.0008299162,0.00006763529,0.00007920083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9876658,"threshold_uncertainty_score":0.9995815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08051849766324622,"score_gpt":0.3451418656442629,"score_spread":0.2646233679810167,"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."}}