{"id":"W1540481890","doi":"10.1002/9781119970446.ch11","title":"UE States and State Transitions","year":2011,"lang":"en","type":"other","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"State (computer science); Selection (genetic algorithm); Control reconfiguration; User equipment; Random access; Computer science; Connection (principal bundle); Idle; Process (computing); Computer network; Telecommunications; Engineering; Base station; Artificial intelligence; Algorithm","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":[0.001459675,0.0006630812,0.0004377188,0.00108656,0.001237307,0.004879598,0.001024149,0.001123392,0.02051613],"category_scores_gemma":[0.004580208,0.0003702897,0.0006721491,0.001004286,0.001153174,0.004764068,0.00199505,0.00162804,0.006751672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509692,"about_ca_system_score_gemma":0.001615515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0062587,"about_ca_topic_score_gemma":0.004209925,"domain_scores_codex":[0.9979303,0.000559336,0.000192368,0.0003626204,0.0005601085,0.0003952804],"domain_scores_gemma":[0.9984402,0.0005522406,0.00009395643,0.000418643,0.0004237565,0.00007127204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002252464,0.0001203994,0.002247066,0.0002552427,0.00002759725,0.0005366589,0.00165787,0.02274519,0.004791395,0.8432456,0.02779944,0.09634827],"study_design_scores_gemma":[0.0000459237,0.0001264897,0.001816368,0.0004510892,0.00006875573,0.0006000744,0.000970998,0.07180321,0.01886329,0.2789613,0.6261739,0.0001187134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03572254,0.002206778,0.5655233,0.001799748,0.001308665,0.0009211361,0.00702986,0.006715844,0.3787721],"genre_scores_gemma":[0.6325939,0.004910429,0.1963314,0.001913834,0.000409414,0.001919851,0.01060629,0.001677398,0.1496375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02051613,"threshold_uncertainty_score":0.06863326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008013184403928092,"score_gpt":0.2019887099901505,"score_spread":0.1939755255862224,"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."}}