{"id":"W2113988679","doi":"10.1109/ccece.2009.5090172","title":"Active mobility control in IPV6 mobile sensor networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Wireless sensor network; Computer network; Mobile wireless sensor network; Computer science; Key distribution in wireless sensor networks; Node (physics); Sensor node; Mobile IP; Mobile computing; Wireless network; Real-time computing; Wireless; Engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003469564,0.0002240287,0.0003135001,0.0001181246,0.00007707138,0.00009887772,0.0007624232,0.0001614995,0.00003371202],"category_scores_gemma":[0.00002373702,0.0002000148,0.00009562226,0.0007251622,0.00005259387,0.000358322,0.00008077975,0.0003383826,0.00002810299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217617,"about_ca_system_score_gemma":0.00003328756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005509755,"about_ca_topic_score_gemma":0.00005811503,"domain_scores_codex":[0.9979196,0.0001774262,0.0003511892,0.0006582668,0.0002715887,0.0006219419],"domain_scores_gemma":[0.9985555,0.0002855792,0.00008862055,0.0008431718,0.00008434693,0.0001427404],"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":[0.00002688781,0.0002814008,0.0004163471,9.37168e-7,0.000006017381,0.00002993663,0.0001156634,0.9480435,0.0001987662,0.007905887,0.000238538,0.04273611],"study_design_scores_gemma":[0.0008192754,0.0001649543,0.01215478,0.00001209138,0.000002575777,0.000008024832,0.0000320356,0.9851713,0.0004827123,0.0002537177,0.0006494303,0.0002490776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1398036,0.0001365846,0.8489229,0.0005312572,0.0003378819,0.0004810439,0.000001017036,0.0004172875,0.009368483],"genre_scores_gemma":[0.9882384,0.00001786459,0.00950199,0.001794604,0.0001013875,0.00003176423,0.000001898324,0.000008454985,0.0003036649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8484348,"threshold_uncertainty_score":0.8156365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005189686288950884,"score_gpt":0.2199401426819221,"score_spread":0.2147504563929712,"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."}}