{"id":"W4235685096","doi":"10.24124/2007/bpgub438","title":"Development of a trace generation and analysis software for random mobility models.","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; University of Northern British Columbia","funders":"","keywords":"TRACE (psycholinguistics); Computer science; Humanities; Art; Philosophy; Linguistics","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":[0.002583986,0.001318866,0.0007716704,0.001988011,0.0005788082,0.00131675,0.002641517,0.0009098554,0.01818779],"category_scores_gemma":[0.01134373,0.001031268,0.000928395,0.0009942856,0.0002881302,0.002041603,0.001479929,0.001649316,0.007497338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005591611,"about_ca_system_score_gemma":0.001712772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004000618,"about_ca_topic_score_gemma":0.003228815,"domain_scores_codex":[0.9988825,0.0002042177,0.0001490813,0.000194859,0.0004919494,0.00007750349],"domain_scores_gemma":[0.9957417,0.001897186,0.0002763215,0.0009765896,0.0009434817,0.0001647728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006598538,0.0007909382,0.008625912,0.001016605,0.0004424567,0.001011417,0.0009464738,0.1065261,0.04137835,0.02077029,0.1084215,0.7094102],"study_design_scores_gemma":[0.0002187419,0.0002174912,0.001226315,0.0001239731,0.000107012,0.0005085272,0.00009332525,0.8798257,0.03374098,0.01001739,0.07382714,0.00009341341],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002661895,0.00004932627,0.8613977,0.00007092505,0.00007335455,0.000271563,0.001601753,0.1322941,0.001579441],"genre_scores_gemma":[0.07873192,0.0003100623,0.8770334,0.0001560213,0.00006324345,0.001295557,0.01130759,0.02044145,0.01066083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01818779,"threshold_uncertainty_score":0.06084424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722238904556922,"score_gpt":0.2872318197895037,"score_spread":0.2600094307439345,"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."}}