{"id":"W1498067662","doi":"10.1109/wimob.2005.1512902","title":"BEAN - BitTorrent enabled ad hoc networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"BitTorrent; Computer science; Wireless ad hoc network; Vehicular ad hoc network; Computer network; Telecommunications; Peer-to-peer; Wireless","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":[0.0009175172,0.0004050462,0.0007511771,0.0005800403,0.0005266806,0.00151127,0.001567271,0.000924971,0.001410227],"category_scores_gemma":[0.001237507,0.0002305751,0.0003774884,0.0006242608,0.0004298302,0.002553003,0.001289272,0.0009405593,0.001385634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003803273,"about_ca_system_score_gemma":0.0006150271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008479608,"about_ca_topic_score_gemma":0.001192164,"domain_scores_codex":[0.9991958,0.0001948263,0.00006263179,0.0001088307,0.0003119999,0.0001260088],"domain_scores_gemma":[0.9991878,0.00008404251,0.00007524985,0.0001775532,0.0003307389,0.0001445725],"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":[0.001410833,0.0004912877,0.003505115,0.001512603,0.0003423676,0.002151314,0.0003717907,0.02068589,0.1320793,0.1592769,0.06801412,0.6101584],"study_design_scores_gemma":[0.0001675307,0.001392623,0.003240343,0.0002103224,0.0002537157,0.009060824,0.0002067202,0.3028814,0.1088528,0.04830195,0.5250601,0.0003716824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02975797,0.008549869,0.9257765,0.0008553172,0.001366995,0.0005577063,0.0003835476,0.008429949,0.02432227],"genre_scores_gemma":[0.4856316,0.008366512,0.454542,0.001369534,0.0003913509,0.0004384506,0.00286389,0.0005186416,0.04587801],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001567271,"threshold_uncertainty_score":0.004852414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007435371455788675,"score_gpt":0.2059449940479602,"score_spread":0.1985096225921716,"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."}}