{"id":"W2951609085","doi":"10.48550/arxiv.1610.09435","title":"On the Power of Weaker Pairwise Interaction: Fault-Tolerant Simulation of Population Protocols","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Computer science; Protocol (science); Pairwise comparison; Anonymity; Context (archaeology); Population; Task (project management); Communications protocol; Focus (optics); Feature (linguistics); Distributed computing; Power (physics); Theoretical computer science; Artificial intelligence; Computer security; Computer network; Engineering","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":[0.005288049,0.0007395596,0.001188495,0.0008780659,0.0009748209,0.001699319,0.002019826,0.001713693,0.002189267],"category_scores_gemma":[0.0345341,0.0004473037,0.001243189,0.000686144,0.005869966,0.005371154,0.003914476,0.00285027,0.0002451272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135763,"about_ca_system_score_gemma":0.000897386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150763,"about_ca_topic_score_gemma":0.0005072622,"domain_scores_codex":[0.994896,0.003311819,0.0002041958,0.0004048603,0.0008680437,0.0003149794],"domain_scores_gemma":[0.9681965,0.02593279,0.001664354,0.002901813,0.0007321388,0.0005724828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000156216,0.00005835525,0.001456273,0.0000929695,0.00005553315,0.0001935537,0.00062568,0.5586681,0.00313233,0.4293292,0.0002702725,0.005961467],"study_design_scores_gemma":[0.00003021553,0.0000505029,0.00008386171,0.0000113837,0.00001262539,0.00002995061,0.00004079911,0.8649507,0.0009212809,0.1333004,0.0005554504,0.00001290329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1596537,0.0002236806,0.8317909,0.001246977,0.00007161067,0.000098359,0.00004761972,0.0002438715,0.006623366],"genre_scores_gemma":[0.935096,0.0003154895,0.06212322,0.0002756947,0.00007270778,0.0002270975,0.00005657641,0.00008780459,0.001745375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005288049,"threshold_uncertainty_score":0.0279662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07358801294285953,"score_gpt":0.2360105798324253,"score_spread":0.1624225668895657,"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."}}