{"id":"W6983530995","doi":"","title":"Modeling and analysis of user association and wireless backhauling in small cell networks","year":2016,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Spectrum management; Wireless network; Wireless; Cellular network; Backhaul (telecommunications); Base station; Telecommunications link; Small cell; Radio resource management","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":[0.0008355236,0.0008623681,0.0009390375,0.0005215153,0.0006445752,0.001625191,0.001531099,0.001738647,0.001385555],"category_scores_gemma":[0.002548706,0.0005573042,0.0007673834,0.0008143992,0.0009550306,0.001212497,0.0008334641,0.001226913,0.0003975567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002048333,"about_ca_system_score_gemma":0.001508274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02606962,"about_ca_topic_score_gemma":0.01131986,"domain_scores_codex":[0.9994307,0.0001576953,0.00001694099,0.0000924509,0.0001516307,0.0001505208],"domain_scores_gemma":[0.9987268,0.0007027676,0.0001956018,0.00005334609,0.0002637515,0.00005775805],"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":[0.00001174694,0.00001756643,0.0006192498,0.00002286441,0.00001244607,0.00006851068,0.00004809236,0.9847606,0.0007907375,0.01110967,0.0002772012,0.002261368],"study_design_scores_gemma":[6.205151e-7,0.000003836577,0.00007568139,0.000001416132,0.000001986476,0.000006436201,0.000005491572,0.9988897,0.00005131007,0.0008533348,0.0001085028,0.000001609369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.139858,0.002298751,0.8337831,0.001120764,0.00015515,0.0001352169,0.0003535608,0.000280047,0.02201539],"genre_scores_gemma":[0.9670483,0.002022517,0.01716121,0.0001108172,0.0001027111,0.0001772408,0.0001824794,0.00005200113,0.01314278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02606962,"threshold_uncertainty_score":0.05183572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007937299422042571,"score_gpt":0.1877384575575538,"score_spread":0.1798011581355112,"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."}}