{"id":"W2040949982","doi":"10.1145/777412.777469","title":"Can we elect if we cannot compare?","year":2003,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Pairwise comparison; Leader election; Comparability; Computer science; Focus (optics); Node (physics); Set (abstract data type); Theoretical computer science; Protocol (science); A priori and a posteriori; Discrete mathematics; Mathematics; Combinatorics; Artificial intelligence","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":[0.0001640332,0.0001353624,0.0001899528,0.00004287801,0.0001096289,0.0001625236,0.0005752622,0.00003494182,0.00007101955],"category_scores_gemma":[0.00001438517,0.0001120059,0.00005307345,0.0004472311,0.00002127963,0.0001569783,0.00004283614,0.0001000301,0.0001519827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005029699,"about_ca_system_score_gemma":0.0001243871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004381331,"about_ca_topic_score_gemma":0.0004495471,"domain_scores_codex":[0.9987918,0.00006880315,0.0002158895,0.0003286124,0.0002295358,0.000365395],"domain_scores_gemma":[0.9991919,0.00002947325,0.00005406921,0.0005158541,0.0000723156,0.000136367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001578911,0.00007781143,0.001238736,0.00002165627,0.0000221693,0.0000341015,0.0005948513,0.0001683998,0.0003543382,0.879553,0.1029605,0.01497282],"study_design_scores_gemma":[0.0004067298,0.00004202078,0.0006892078,0.00003936679,0.000002901757,0.00006315189,0.00008467365,0.01490216,0.003133091,0.005094104,0.9751976,0.000345017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004501841,0.0009803999,0.8476052,0.008462189,0.001178905,0.0002731128,0.00002291056,0.0004464579,0.136529],"genre_scores_gemma":[0.99056,0.00002548939,0.004022719,0.0004002498,0.00003403248,0.00001220132,0.000002488606,0.000006052912,0.004936772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9860582,"threshold_uncertainty_score":0.4567467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01707132529386281,"score_gpt":0.2383235882450229,"score_spread":0.22125226295116,"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."}}