{"id":"W2090816897","doi":"10.1109/icce.2013.6486935","title":"A mobile agent framework for ubiquitous media access","year":2013,"lang":"en","type":"article","venue":"","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Mobile device; Digital media; Variety (cybernetics); Cloud computing; Multimedia; Software; World Wide Web; Operating system","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":[0.00179112,0.0006666636,0.0005857959,0.0006527372,0.001500256,0.003195911,0.002282881,0.001769132,0.00356934],"category_scores_gemma":[0.002235279,0.0004970279,0.0009141506,0.0004992218,0.001296541,0.003050492,0.002880817,0.00200275,0.001153982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047692,"about_ca_system_score_gemma":0.002508243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00762908,"about_ca_topic_score_gemma":0.009061406,"domain_scores_codex":[0.9991806,0.0002600501,0.0000788433,0.0001056517,0.000277198,0.0000976053],"domain_scores_gemma":[0.9994264,0.0001715596,0.00006019496,0.00007247394,0.000140476,0.0001289683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007790511,0.0001053801,0.0003686445,0.0002255416,0.00004475694,0.0004978303,0.0009852812,0.03573363,0.004576086,0.8784389,0.00776557,0.07118044],"study_design_scores_gemma":[0.0001376442,0.000144524,0.0001878309,0.0002312308,0.00009013017,0.0005843045,0.0003727507,0.4656477,0.003807054,0.1694655,0.3592492,0.00008198662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002890995,0.0006024239,0.98083,0.0006157232,0.0001695884,0.0002186909,0.00004957338,0.001445286,0.01317776],"genre_scores_gemma":[0.1239258,0.001174703,0.858143,0.000261277,0.0001316527,0.0007889307,0.0001910213,0.0002097252,0.01517392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00762908,"threshold_uncertainty_score":0.01516932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983693310012082,"score_gpt":0.2902109825253543,"score_spread":0.2603740494252335,"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."}}