{"id":"W2604831012","doi":"10.1109/lwc.2017.2690677","title":"Cell Switch-Off Algorithms for Spatially Irregular Base Station Deployments","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Algorithm; Software deployment; Grid; Interference (communication); Cellular network; Poisson point process; Process (computing); Point process; Stochastic geometry; Computer network; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000195636,0.000211716,0.0002096489,0.0001082632,0.0007313952,0.0001643245,0.001255123,0.00008253918,0.000003842299],"category_scores_gemma":[0.00002699987,0.0002547491,0.00007614562,0.00007032991,0.0001095712,0.000599462,0.00008683062,0.0001626771,0.00002940885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001700456,"about_ca_system_score_gemma":0.00002123884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008209868,"about_ca_topic_score_gemma":0.0001222971,"domain_scores_codex":[0.9989317,0.00005816896,0.0003745676,0.0002136667,0.0001415426,0.0002803538],"domain_scores_gemma":[0.996685,0.0001249795,0.0002268996,0.002765546,0.000118186,0.00007940681],"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":[0.00001817726,0.0001365837,0.0005859745,0.0002204402,0.0001163035,0.000003173811,0.0008664934,0.684563,0.2560345,0.0003008993,0.008712264,0.04844225],"study_design_scores_gemma":[0.001194079,0.00001923723,0.0003411929,0.0000935766,0.00004804712,0.000002334856,0.00006507165,0.9615393,0.03091575,0.00006476935,0.005288848,0.0004277944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04821568,0.0002528437,0.9479294,0.001328729,0.0006412548,0.0008391288,0.00009717588,0.000362298,0.0003334641],"genre_scores_gemma":[0.8747242,0.0002909008,0.1238037,0.0001836954,0.0000979828,0.0004787713,0.0002269726,0.0001058547,0.00008786103],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8265086,"threshold_uncertainty_score":0.9999905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02997745173238225,"score_gpt":0.2733221698109138,"score_spread":0.2433447180785316,"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."}}