{"id":"W2953256091","doi":"10.48550/arxiv.1204.6093","title":"Linear Consensus Algorithms Based on Balanced Asymmetric Chains","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Consensus algorithm; Set (abstract data type); Chain (unit); Property (philosophy); Algorithm; Computer science; Finite set; Mathematics; Discrete mathematics; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006285852,0.0006147653,0.0006994664,0.0007904232,0.0001919804,0.0001527734,0.002740374,0.0005426271,0.00002270883],"category_scores_gemma":[0.0001691339,0.0006936203,0.0004227789,0.001570762,0.0001120725,0.0001738586,0.001095858,0.0008996934,0.0006039166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005767283,"about_ca_system_score_gemma":0.0003531748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001997984,"about_ca_topic_score_gemma":0.000009715272,"domain_scores_codex":[0.9964102,0.0004204507,0.0003926804,0.001607766,0.0003021981,0.0008667411],"domain_scores_gemma":[0.995663,0.0004495705,0.0005521532,0.002546228,0.0003087611,0.0004802359],"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":[0.0001517067,0.001040693,0.007224431,0.0002476606,0.000435552,0.00145475,0.0001581277,0.8527986,0.00008104013,0.1285526,0.002238622,0.005616171],"study_design_scores_gemma":[0.001776181,0.00007360956,0.002327741,0.0001223107,0.00007747105,0.000004441864,0.00001817209,0.9928189,0.0001153068,0.0004677491,0.001486096,0.00071205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0130667,0.00009685653,0.9754961,0.0003020322,0.002835663,0.0008210849,0.0002099757,0.0007276862,0.006443865],"genre_scores_gemma":[0.994512,0.00001747344,0.003332078,0.0002819995,0.0003053658,0.000004437913,0.00008382691,0.00003753543,0.001425338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9814453,"threshold_uncertainty_score":0.9995515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07515525536335256,"score_gpt":0.201810817711824,"score_spread":0.1266555623484714,"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."}}