{"id":"W1949215090","doi":"10.1007/s00446-014-0237-0","title":"Knowledge, level of symmetry, and time of leader election","year":2014,"lang":"en","type":"article","venue":"Distributed Computing","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Leader election; Node (physics); Topology (electrical circuits); Computation; Computer science; Network topology; Computer network; Symmetry (geometry); Lambda; Mathematics; Combinatorics; Discrete mathematics; Physics; Algorithm; Geometry","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":[0.0004575417,0.00008407006,0.0002128301,0.00007583751,0.00006963259,0.00003172249,0.0002246865,0.00005616267,0.000002755391],"category_scores_gemma":[0.00005731895,0.00007972835,0.00004818572,0.0003904947,0.00003304772,0.0000758034,0.0000904351,0.00007822795,0.000006295714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001754068,"about_ca_system_score_gemma":0.00001541424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551878,"about_ca_topic_score_gemma":0.00000225602,"domain_scores_codex":[0.9991394,0.0001057649,0.000311664,0.0001909041,0.0000990023,0.0001532935],"domain_scores_gemma":[0.9992026,0.0001786269,0.0001885276,0.0002020297,0.0001918346,0.00003638928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003483497,0.000530622,0.01329289,0.0006145299,0.0002819659,0.00000228321,0.004233145,0.009179324,0.03671177,0.4903372,0.01741781,0.4273636],"study_design_scores_gemma":[0.0002246443,0.0001079682,0.00490958,0.00009747167,0.000005031591,0.00001578772,0.00003512589,0.9842678,0.008838885,0.0004542672,0.000946663,0.00009677488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07330929,0.00008066649,0.9249661,0.00004357683,0.0002699319,0.00005285044,0.000006207856,0.00004689309,0.001224489],"genre_scores_gemma":[0.9981872,8.247322e-7,0.001634584,0.00001335008,0.00009076708,5.893527e-7,0.000007909867,0.000004221164,0.00006055279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9750885,"threshold_uncertainty_score":0.3251228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03682208018543388,"score_gpt":0.2641277812374795,"score_spread":0.2273057010520456,"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."}}