{"id":"W2950370838","doi":"10.1155/2019/7810546","title":"LMR and LTE for Public Safety in 700 MHz Spectrum","year":2019,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interoperability; Software deployment; Computer science; Broadband; Telecommunications; Broadband networks; Mobile broadband; Computer security; Wireless; Operating system","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":[0.0002959416,0.0001034499,0.0001648954,0.0001073789,0.0001649502,0.00006598164,0.0001926699,0.00004822557,0.000008676046],"category_scores_gemma":[0.000006551782,0.0001121074,0.00002481633,0.0001173609,0.00003549981,0.00009409933,0.0002030534,0.0001530107,0.00000463579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301617,"about_ca_system_score_gemma":0.00001156742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001832376,"about_ca_topic_score_gemma":0.00005555627,"domain_scores_codex":[0.9993234,0.00003327725,0.0002612391,0.0001469688,0.00004424444,0.0001908212],"domain_scores_gemma":[0.9992484,0.0001788996,0.00003644287,0.000454857,0.00002947623,0.00005195551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002061587,0.000168691,0.01535699,0.0006642651,0.00009917399,4.933305e-7,0.00564985,0.06533413,0.03024718,0.01630095,0.00006179354,0.8660959],"study_design_scores_gemma":[0.0004466911,0.00002555857,0.0006416244,0.0000676392,0.000004042987,0.000003890814,0.0002870858,0.9864712,0.0003283,0.0002106398,0.01136876,0.000144561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8130712,0.001821037,0.1831534,0.0001850072,0.00006968184,0.0004946857,0.000007075375,0.0001124044,0.001085565],"genre_scores_gemma":[0.9899224,0.001638205,0.008260712,0.00004008452,0.00001834924,0.00004103765,0.00002954255,0.00002270898,0.00002698347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9211371,"threshold_uncertainty_score":0.4571606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02310385318076032,"score_gpt":0.244939666103987,"score_spread":0.2218358129232267,"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."}}