{"id":"W2075609395","doi":"10.5539/cis.v5n3p90","title":"Mobility Prediction in Dynamic Grids","year":2012,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mobility model; Key (lock); Mobility management; Task (project management); Grid; Track (disk drive); Distributed computing; Duration (music); Tracking (education); Real-time computing; Computer network; Computer security; Systems engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005157583,0.0004252315,0.0005367561,0.0005310688,0.0005828136,0.0007823943,0.000973867,0.0005988734,0.001064671],"category_scores_gemma":[0.00373945,0.0003330945,0.0003188517,0.0008352236,0.0004981333,0.00133674,0.0009829501,0.0007721054,0.0003520857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008407712,"about_ca_system_score_gemma":0.0007854735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168042,"about_ca_topic_score_gemma":0.007974,"domain_scores_codex":[0.9996866,0.00007479382,0.00001722075,0.00009525275,0.00006876428,0.00005733395],"domain_scores_gemma":[0.9990651,0.0004357453,0.0001479605,0.0001074382,0.0001753499,0.00006851839],"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":[0.00008488751,0.00001715693,0.005055885,0.00003707226,0.00001543144,0.0001142546,0.00005696698,0.9474585,0.0007041295,0.01573705,0.002419383,0.02829938],"study_design_scores_gemma":[0.000002702925,0.000005981337,0.0002809126,0.000004229673,0.000002534866,0.0000209621,0.00001655761,0.9931595,0.0001617786,0.005648976,0.0006918696,0.000003914689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1029702,0.001474684,0.886349,0.001461896,0.0002503608,0.0000617104,0.0006831829,0.001233354,0.005515555],"genre_scores_gemma":[0.9554595,0.00100677,0.04016363,0.00008990428,0.00009449793,0.00004841404,0.0005846968,0.00005786555,0.002494608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0168042,"threshold_uncertainty_score":0.03341275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111051043011684,"score_gpt":0.2364581364399711,"score_spread":0.2253530321388027,"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."}}