{"id":"W4311651254","doi":"10.1109/sin56466.2022.9970529","title":"Keynote Speaker 3: Scaling Blockchains","year":2022,"lang":"en","type":"article","venue":"","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Blockchain; Scalability; Computer science; Scaling; Layer (electronics); Key (lock); Cover (algebra); Protocol (science); Distributed computing; State (computer science); Computer network; Theoretical computer science; Computer security; Database; Algorithm; Engineering; Nanotechnology; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002314934,0.0006280781,0.0003177516,0.0005894318,0.001704473,0.004044776,0.001252902,0.00348594,0.06953189],"category_scores_gemma":[0.006543362,0.0002763626,0.0005423162,0.0007521284,0.0007628244,0.005299559,0.002374126,0.004189576,0.02411599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692806,"about_ca_system_score_gemma":0.001471164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001371836,"about_ca_topic_score_gemma":0.001581401,"domain_scores_codex":[0.9984447,0.0003148534,0.00004945403,0.0002943233,0.0006444786,0.0002521435],"domain_scores_gemma":[0.9976429,0.0005893707,0.00008777992,0.0002072365,0.0009316189,0.0005411237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001686771,0.00004696845,0.0003524079,0.000296151,0.00001436961,0.0001689107,0.0002822466,0.00130178,0.002684131,0.08558614,0.818793,0.09030525],"study_design_scores_gemma":[0.00004721428,0.0001045533,0.0004261432,0.0002248793,0.00001598377,0.0001987128,0.0003110136,0.003044885,0.003314421,0.0507116,0.9415579,0.00004262604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01314473,0.02040146,0.07095034,0.2629006,0.1789142,0.0004945352,0.001830836,0.003083786,0.4482796],"genre_scores_gemma":[0.1828138,0.02359072,0.02521849,0.03962272,0.1029574,0.0006658207,0.002407258,0.002046626,0.6206771],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9304681,"threshold_uncertainty_score":0.2326074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009607224006073918,"score_gpt":0.2199225493864548,"score_spread":0.2103153253803809,"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."}}