{"id":"W1547102391","doi":"10.1007/978-3-642-13651-1_23","title":"Fast Decentralized Averaging via Multi-scale Gossip","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Gossip; Computer science; Logarithm; Pairwise comparison; Computation; Partition (number theory); Graph; Binary logarithm; Theoretical computer science; Random graph; Algorithm; Combinatorics; Mathematics; 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":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.001227189,0.000990035,0.001034634,0.0008810941,0.0005091592,0.001424409,0.006688928,0.0007121681,0.00005508955],"category_scores_gemma":[0.000110484,0.0009326006,0.0003241346,0.0007678549,0.0008505739,0.0009917996,0.00178461,0.001846117,0.000277813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005138447,"about_ca_system_score_gemma":0.0006046271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101298,"about_ca_topic_score_gemma":0.0003028961,"domain_scores_codex":[0.9931998,0.00008360105,0.001016106,0.002599485,0.001601591,0.001499409],"domain_scores_gemma":[0.9953011,0.0004152617,0.0006077326,0.002745397,0.0004183544,0.0005121333],"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":[0.00001570973,0.0001517576,0.0004229177,0.00008604169,0.00005297828,0.0003405284,0.001720099,0.01554561,0.01286899,0.003593141,0.00003938383,0.9651628],"study_design_scores_gemma":[0.001535655,0.00007798344,0.0004120722,0.0004262566,0.00001944473,0.0001976835,2.323583e-7,0.9705883,0.005192606,0.0124515,0.007717545,0.001380761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008744824,0.0004176857,0.9902348,0.0007170946,0.006074689,0.0008642873,0.00002378833,0.0004789123,0.001101303],"genre_scores_gemma":[0.1794008,0.00003826561,0.81712,0.001575232,0.000791701,0.0000395479,0.00002921367,0.0001040667,0.000901175],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9637821,"threshold_uncertainty_score":0.9996122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01425301516098174,"score_gpt":0.2407755134558634,"score_spread":0.2265224982948817,"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."}}