{"id":"W4379157543","doi":"10.5539/nct.v8n1p8","title":"Integration of Small Cells with Smart Antennas in Macrocells for Improving the Performance of Mobile Telephone Networks","year":2023,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Macrocell; Computer science; Cellular network; Computer network; Heterogeneous network; Femtocell; Telecommunications; Wireless network; Base station; Wireless","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":[0.000198462,0.0004603915,0.0002940127,0.000161902,0.0001585727,0.0005515742,0.0003287403,0.0004408747,0.000984329],"category_scores_gemma":[0.0003485886,0.0001182728,0.0002532966,0.0002193653,0.0003338047,0.0002833488,0.0003225697,0.0002383346,0.0004373217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002819161,"about_ca_system_score_gemma":0.000145573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007628676,"about_ca_topic_score_gemma":0.0011744,"domain_scores_codex":[0.9997782,0.00008326161,0.000006170868,0.000029907,0.00006801573,0.00003441119],"domain_scores_gemma":[0.9997858,0.00008485645,0.00003057782,0.00003553258,0.00004477356,0.00001835235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003396692,0.0002033023,0.004701469,0.0001892734,0.00009767881,0.000835521,0.0001818694,0.420005,0.4590811,0.0127206,0.001294627,0.1003498],"study_design_scores_gemma":[0.00004604573,0.001267484,0.004289486,0.00003568745,0.00009285806,0.0005047062,0.0001146675,0.8011144,0.16829,0.005127911,0.01906822,0.00004840115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3387421,0.001123435,0.6419383,0.0003853109,0.0001816567,0.00008167334,0.00009605619,0.0005856795,0.01686583],"genre_scores_gemma":[0.9445542,0.0004047466,0.05260274,0.00008683484,0.00002879255,0.00002729171,0.00002124735,0.00002005781,0.002254145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.000984329,"threshold_uncertainty_score":0.003292978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008419056999046801,"score_gpt":0.1968969547833395,"score_spread":0.1884778977842927,"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."}}