{"id":"W2128634904","doi":"10.1145/2629656","title":"Gathering Despite Mischief","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Algorithms","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Israeli Centers for Research Excellence; Natural Sciences and Engineering Research Council of Canada; Israel Science Foundation; United States-Israel Binational Science Foundation","keywords":"Byzantine architecture; Computer science; Node (physics); Upper and lower bounds; Matching (statistics); Combinatorics; Theoretical computer science; Mathematics; Discrete mathematics; Physics; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002549318,0.0001164464,0.0001031784,0.0001354508,0.0002417188,0.0001494631,0.0008152099,0.00005264259,0.0001190057],"category_scores_gemma":[0.00002734742,0.0001092833,0.00007166502,0.0003694365,0.00002988458,0.0003334762,0.00001425688,0.0001970868,0.000291385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002473665,"about_ca_system_score_gemma":0.00002358037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000139678,"about_ca_topic_score_gemma":0.000006308415,"domain_scores_codex":[0.9989702,0.00007537731,0.0001544852,0.000302866,0.0002422401,0.0002548318],"domain_scores_gemma":[0.99888,0.000111178,0.00003002796,0.0007868238,0.0000560363,0.0001358887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002657425,0.0001112135,0.000005001024,0.00000635332,0.00001643874,0.000001890743,0.0004421088,0.02525038,0.0002647153,0.003835891,0.00005001499,0.9700133],"study_design_scores_gemma":[0.0006922196,0.0002638189,0.0003530522,0.00002725029,0.000006367176,0.00001808418,0.00002816649,0.9600946,0.003305144,0.006172979,0.02872701,0.0003112889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002968395,0.00001140847,0.9944302,0.002013207,0.0003122398,0.0001120098,0.000001615255,0.0003238785,0.002498571],"genre_scores_gemma":[0.1646015,0.00004948436,0.8324115,0.00102857,0.00005657956,0.00004133914,0.000001306703,0.00002051014,0.001789205],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9697021,"threshold_uncertainty_score":0.4456443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02024123927452412,"score_gpt":0.2543549482875596,"score_spread":0.2341137090130355,"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."}}