{"id":"W651310131","doi":"","title":"MSWiM '08 : proceedings of the Eleventh ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems : Vancouver, British Columbia, Canada, October 27-31, 2008","year":2008,"lang":"en","type":"book","venue":"Association for Computing Machinery eBooks","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Eleventh; Wireless; Library science; Telecommunications; Computer science; Operations research; Geography; Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007879845,0.0002184031,0.000650588,0.0001874069,0.0003550776,0.0003530804,0.00150795,0.0002566362,0.000001740915],"category_scores_gemma":[0.0002203569,0.0002713336,0.0001709695,0.0002218701,0.00008027508,0.0001193768,0.0009378021,0.0004552387,1.065163e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007441432,"about_ca_system_score_gemma":0.0008102287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1008772,"about_ca_topic_score_gemma":0.3779286,"domain_scores_codex":[0.9971417,0.00009622682,0.0008422185,0.0005225082,0.001114582,0.0002827701],"domain_scores_gemma":[0.9951754,0.0008769705,0.00168967,0.000513665,0.001665087,0.00007918101],"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":[0.00002932206,0.0001396637,0.03656063,0.0004772726,0.002406464,0.000001946512,0.001465054,0.8725726,0.00002598662,0.00368457,0.06266123,0.01997524],"study_design_scores_gemma":[0.0003934567,0.0000416313,0.001498246,0.0003316733,0.00009432818,0.000002258563,0.00002497087,0.9941731,0.000003101243,0.0006879796,0.002523483,0.0002257902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7106436,0.001488867,0.1222516,0.0004121018,0.005132137,0.00953821,0.001987687,0.0004304444,0.1481153],"genre_scores_gemma":[0.9016891,0.00007670827,0.0006605797,0.00003086483,0.00008929783,0.00003132228,0.00006117151,0.00002687367,0.09733414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770514,"threshold_uncertainty_score":0.9999739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783835924811741,"score_gpt":0.2505361638133718,"score_spread":0.2326978045652544,"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."}}