{"id":"W2891564882","doi":"","title":"Linear Node Movement Patterns in MANETS","year":2013,"lang":"en","type":"article","venue":"International Conference on Wireless and Mobile Communications","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Node (physics); Computer network; Mobile ad hoc network; Movement (music); Network packet; Engineering","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":[0.0001278053,0.0001343251,0.0001335636,0.0001214378,0.00009091801,0.0002108869,0.002103933,0.00005822872,0.0002215721],"category_scores_gemma":[0.000008248175,0.0001307875,0.00003072639,0.0001121871,0.00007084417,0.0003683785,0.0008808935,0.0002589427,0.0001012679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006049041,"about_ca_system_score_gemma":0.00003919068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006055181,"about_ca_topic_score_gemma":0.0002915822,"domain_scores_codex":[0.9989278,0.00007785421,0.0002934396,0.0002939497,0.0002195112,0.0001874137],"domain_scores_gemma":[0.9983083,0.0001241844,0.00009642962,0.001210901,0.0001777924,0.0000823719],"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":[0.000003759594,0.0004042068,0.01073193,0.000007809345,0.00002772475,0.000003883596,0.0007377267,0.0006375072,0.000740339,0.8077456,0.0003657882,0.1785937],"study_design_scores_gemma":[0.0004504094,0.00007676709,0.02677093,0.0001489763,0.000001987136,0.000003825014,0.0001601692,0.9596007,0.0001726449,0.008213676,0.004163886,0.0002359923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7568871,0.0004011802,0.1623293,0.02704392,0.0008455443,0.002129715,0.00005465117,0.0003177291,0.04999085],"genre_scores_gemma":[0.9919713,0.001644909,0.004093451,0.0009835574,0.0000276737,0.0009586227,0.00003535398,0.00000845856,0.000276737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9589632,"threshold_uncertainty_score":0.533336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03737594421789338,"score_gpt":0.2976937733052994,"score_spread":0.2603178290874061,"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."}}