{"id":"W4307101766","doi":"10.3233/mis-2010-0102","title":"An Enhanced MPR-Based Solution for Flooding of Broadcast Messages in OLSR Wireless ad hoc Networks","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Flooding (psychology); Wireless ad hoc network; Optimized Link State Routing Protocol; Computer network; Computer science; Ad hoc wireless distribution service; Mobile ad hoc network; Wireless; Distributed computing; Telecommunications; Psychology; Network packet","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":[0.0007083859,0.0005084453,0.0007090563,0.0006964619,0.0004352871,0.000487292,0.001440981,0.0008976233,0.0007344251],"category_scores_gemma":[0.001845268,0.0002207901,0.0003923061,0.0004136397,0.0002980747,0.0009501536,0.0008450557,0.0005599342,0.0003388949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294546,"about_ca_system_score_gemma":0.0004981086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006510786,"about_ca_topic_score_gemma":0.0009895463,"domain_scores_codex":[0.9993772,0.0001944521,0.00004534198,0.00008138891,0.0002474277,0.00005413574],"domain_scores_gemma":[0.9994779,0.0001465504,0.00008943042,0.00008576113,0.0001776844,0.00002263688],"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":[0.0005286615,0.0002756693,0.0009624106,0.0005505265,0.0001814163,0.000950392,0.000501272,0.3316963,0.1436828,0.0378496,0.004261172,0.4785597],"study_design_scores_gemma":[0.00005039846,0.0003768953,0.0003189193,0.00001799859,0.00006615554,0.0005228008,0.0000553918,0.9717932,0.01667875,0.003734531,0.006350135,0.00003483124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02576964,0.0004809303,0.970812,0.0002034528,0.00007089361,0.0001474686,0.00003142527,0.000608316,0.001875782],"genre_scores_gemma":[0.4538709,0.000453937,0.5407729,0.0001564791,0.0001250597,0.0001864756,0.0001016443,0.00006390184,0.004268818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001440981,"threshold_uncertainty_score":0.003746331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193062396593758,"score_gpt":0.4905571229994962,"score_spread":0.3712508833401204,"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."}}