{"id":"W2920976905","doi":"","title":"Gossiping with interference in radio chain networks","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Gossip; Computer science; Computer network; Node (physics); Upper and lower bounds; Communication source; Transmission (telecommunications); Message passing; Focus (optics); Distributed computing; Mathematics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00142078,0.0008352475,0.0009668749,0.0006905345,0.0008926198,0.001562394,0.001078504,0.001044398,0.00224145],"category_scores_gemma":[0.004615902,0.0005078839,0.0007772978,0.001040689,0.001734159,0.002516415,0.001697452,0.001213601,0.0004280932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009306614,"about_ca_system_score_gemma":0.000662211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001504823,"about_ca_topic_score_gemma":0.0008221646,"domain_scores_codex":[0.9988493,0.0004156429,0.00007191792,0.0002151947,0.0002777628,0.00017016],"domain_scores_gemma":[0.9964865,0.002661158,0.0003242767,0.0002257611,0.0001624897,0.0001396941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000259976,0.00007171592,0.0007993103,0.0004771284,0.0001134501,0.0005002858,0.0005732505,0.7250271,0.007435028,0.2272481,0.002318107,0.03517662],"study_design_scores_gemma":[0.00004600157,0.0001098658,0.000142908,0.00002552075,0.00002897273,0.0001393427,0.00007166719,0.8606415,0.001767187,0.1328907,0.004118838,0.0000174591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05852254,0.002065307,0.9260004,0.0005307705,0.0001561503,0.000129303,0.0000955278,0.0003664035,0.0121337],"genre_scores_gemma":[0.8053577,0.00341442,0.177395,0.0002107874,0.0004219204,0.0003840375,0.0003022475,0.000202935,0.01231096],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00224145,"threshold_uncertainty_score":0.007513881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200825194211516,"score_gpt":0.2161083567066555,"score_spread":0.2041001047645403,"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."}}