{"id":"W7072297103","doi":"","title":"Wireless GINI : an emulator for ad-hoc wireless local area networks","year":2005,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Local area network; Wi-Fi; Wireless network; Overlay; Wireless; Popularity; Overlay network; Reliability (semiconductor); Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001096841,0.0008582858,0.0005261038,0.0006696299,0.0003087413,0.0008212141,0.002376104,0.000648179,0.01596896],"category_scores_gemma":[0.00316175,0.0003843434,0.0002551813,0.0005220775,0.0002819023,0.001364773,0.0009466052,0.00146888,0.007098727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003753334,"about_ca_system_score_gemma":0.0005051074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004526655,"about_ca_topic_score_gemma":0.0005244304,"domain_scores_codex":[0.9993764,0.0001868295,0.00003346412,0.00005326413,0.0002812185,0.00006877389],"domain_scores_gemma":[0.9992486,0.0002680579,0.00005433835,0.0001605192,0.0001800149,0.00008849592],"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":[0.001968547,0.0008127294,0.005688321,0.001280599,0.0002117169,0.0009425906,0.0008681421,0.1191226,0.07737653,0.06049467,0.3101868,0.4210469],"study_design_scores_gemma":[0.0004981484,0.0005800379,0.001595263,0.0001432629,0.00008512762,0.0007001482,0.0000524457,0.562345,0.07829503,0.009633353,0.3459572,0.0001150424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01502832,0.0004243793,0.8530361,0.0002720743,0.0003779854,0.0007331184,0.001676419,0.101654,0.0267975],"genre_scores_gemma":[0.3292132,0.001701156,0.5752419,0.0006967539,0.0001859781,0.002737974,0.008793616,0.02238528,0.0590441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01596896,"threshold_uncertainty_score":0.05342144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353702458680785,"score_gpt":0.2353603883321901,"score_spread":0.2218233637453823,"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."}}