{"id":"W2050198768","doi":"10.1155/2013/590872","title":"Mathematical and Numerical Modeling of Information Dissemination in Mobile Networks","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Mathematics","topic":"Cooperative Communication and Network Coding","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Broadcasting (networking); Dissemination; Computer network; Channel (broadcasting); Wireless; Relay; Multipath propagation; Bandwidth (computing); Wireless network; Distributed computing; 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":[0.0008454291,0.0005232173,0.0007202582,0.0009351841,0.0004807553,0.001804559,0.0009030415,0.001415731,0.002531554],"category_scores_gemma":[0.004974748,0.0002674787,0.0007218854,0.0009175605,0.001026622,0.002148626,0.001124133,0.001361589,0.000580488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009764922,"about_ca_system_score_gemma":0.0007474362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626025,"about_ca_topic_score_gemma":0.0005804581,"domain_scores_codex":[0.9994739,0.0001617242,0.00003232067,0.00005848126,0.0002278796,0.00004574951],"domain_scores_gemma":[0.9987023,0.0008030779,0.0001902832,0.00009198211,0.0001674925,0.00004492111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002154828,0.00003727831,0.0005412225,0.0001587522,0.00003741868,0.0001355017,0.0001524153,0.4427163,0.002265371,0.530086,0.007291167,0.01655708],"study_design_scores_gemma":[0.000007261912,0.0000157612,0.0001629599,0.00001892401,0.000007662416,0.00005560417,0.00001777628,0.8893687,0.0002675942,0.1031256,0.006942134,0.000009987767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02161119,0.007424832,0.9298939,0.00403278,0.001101879,0.0001158141,0.0003099684,0.0002003493,0.03530927],"genre_scores_gemma":[0.7795191,0.02293888,0.1367887,0.0009907486,0.002934994,0.0005847921,0.0005484342,0.0002456179,0.05544877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002531554,"threshold_uncertainty_score":0.008468926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566132599257396,"score_gpt":0.2627627746606429,"score_spread":0.2471014486680689,"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."}}