{"id":"W3136942927","doi":"10.1145/3251279","title":"Session details: Next generation mobile networks II (Next Generation Mobile Networks symp.)","year":2009,"lang":"en","type":"article","venue":"","topic":"Satellite Communication Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Session (web analytics); Computer science; Next-generation network; Cellular network; Computer network; Mobile computing; Multimedia; World Wide Web; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000448046,0.000368744,0.0003487066,0.0001406205,0.000413168,0.0003598277,0.0004164214,0.000391231,0.0003408318],"category_scores_gemma":[0.00001217933,0.0003608185,0.0001209007,0.0005086152,0.00002592315,0.000936728,0.00008183969,0.0003564301,0.0001132354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002326546,"about_ca_system_score_gemma":0.00002362938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000209702,"about_ca_topic_score_gemma":0.00005439844,"domain_scores_codex":[0.9978901,0.0001817312,0.0007722392,0.0003925557,0.0002887225,0.0004746871],"domain_scores_gemma":[0.9983339,0.00006940637,0.0001198465,0.001147387,0.0001604086,0.0001690199],"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":[0.000003148495,0.00004388485,0.00008568991,0.000007410736,0.0000201991,0.000001112508,0.0001839121,0.8544191,0.04626804,0.0001818583,0.00762528,0.09116036],"study_design_scores_gemma":[0.0002641713,0.0001185213,0.0001047166,0.00003871048,0.00001829408,0.00001181137,0.0001409645,0.9523022,0.004551019,0.00000846729,0.04204512,0.0003959647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4294303,0.05114336,0.503506,0.00009147451,0.002767407,0.002154104,0.000003589634,0.00222497,0.008678769],"genre_scores_gemma":[0.9873124,0.00649204,0.002234693,0.0002926341,0.002079993,0.0003688574,0.0004062533,0.00007366348,0.0007394059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5578821,"threshold_uncertainty_score":0.9998844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242045469613495,"score_gpt":0.2607321479680018,"score_spread":0.2083116932718668,"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."}}