{"id":"W2786393035","doi":"10.1109/pimrc.2017.8292289","title":"Charging-aware mobility modeling for wirelessly chargeable intermittently connected MANETs","year":2017,"lang":"en","type":"article","venue":"","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Computer network; Mobility model; Routing protocol; Network packet; Wireless ad hoc network; Flooding (psychology); Grid; Routing (electronic design automation); Mobile computing; Distributed computing; Wireless; Skew; 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":[0.0004419754,0.0002208517,0.0003223859,0.00003963214,0.0007629725,0.0005990742,0.001654116,0.0001196721,0.00006639101],"category_scores_gemma":[0.00002160033,0.0001944865,0.0001275719,0.00004812414,0.00005254771,0.00073112,0.0004333618,0.0001507969,0.00004336124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004526907,"about_ca_system_score_gemma":0.00009067108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001267302,"about_ca_topic_score_gemma":0.00003028408,"domain_scores_codex":[0.9982276,0.00002455369,0.0003515298,0.0006530658,0.0002096079,0.0005336356],"domain_scores_gemma":[0.9977482,0.0000919577,0.0001879034,0.001539116,0.0002313364,0.0002014625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003311531,0.001119851,0.005509068,0.0005254709,0.0003417686,0.0002434929,0.001662188,0.004465311,0.0006917536,0.2717163,0.03069643,0.6826972],"study_design_scores_gemma":[0.00060145,0.0000630008,0.00009859634,0.00004663064,0.000009132587,0.000012719,0.0000279311,0.9938944,0.0001053581,0.004125142,0.0007493319,0.0002663293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03137381,0.0000415942,0.9615439,0.001179493,0.000822515,0.000450409,0.00001293941,0.0002970719,0.00427824],"genre_scores_gemma":[0.9866084,0.00001999449,0.0100419,0.0004985687,0.000173046,0.00006639836,0.00001853278,0.00001714044,0.002555973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894291,"threshold_uncertainty_score":0.7930929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05612940791778428,"score_gpt":0.2874234261095351,"score_spread":0.2312940181917508,"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."}}