{"id":"W2950969151","doi":"10.48550/arxiv.1301.7119","title":"How to Meet Asynchronously at Polynomial Cost","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Polynomial; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001484882,0.001189012,0.001164309,0.0005137654,0.001511254,0.002533632,0.002328806,0.001684822,0.01325952],"category_scores_gemma":[0.01336632,0.0008097402,0.001196839,0.0009405104,0.001269575,0.005225133,0.002592218,0.001875549,0.002927588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144294,"about_ca_system_score_gemma":0.001960174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003341287,"about_ca_topic_score_gemma":0.00437602,"domain_scores_codex":[0.9972109,0.0007457294,0.0002082568,0.0007216595,0.0006668181,0.0004467062],"domain_scores_gemma":[0.9892434,0.007066567,0.0009244618,0.001602481,0.0006226688,0.0005404699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001753499,0.0004698022,0.003512044,0.0008888021,0.0002190072,0.0005060891,0.001062204,0.5485868,0.0185018,0.1567698,0.02623618,0.2414939],"study_design_scores_gemma":[0.0003737919,0.0001506618,0.0005141904,0.0000287324,0.00007820398,0.0002082983,0.0002598873,0.7984871,0.006055831,0.1831113,0.01069522,0.00003678626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1576998,0.0002966192,0.8081158,0.003871998,0.0002463101,0.0004173777,0.0008635221,0.004096362,0.02439211],"genre_scores_gemma":[0.5816348,0.0003087912,0.3991866,0.0003502638,0.000126692,0.0004975752,0.001653301,0.0007946714,0.01544727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01325952,"threshold_uncertainty_score":0.04435754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07055463355348017,"score_gpt":0.1898684458491258,"score_spread":0.1193138122956456,"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."}}