{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003480293,0.0004940922,0.0001817913,0.0004565824,0.0002687302,0.001083213,0.0003706655,0.001314153,0.003840467],"category_scores_gemma":[0.0004160167,0.0001458794,0.0003114948,0.0005373829,0.0003030326,0.00155306,0.0005364234,0.001025817,0.002514979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006769387,"about_ca_system_score_gemma":0.0007062744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037195,"about_ca_topic_score_gemma":0.001793572,"domain_scores_codex":[0.999676,0.00009352536,0.00001728045,0.00003730354,0.0001304593,0.00004547073],"domain_scores_gemma":[0.9999069,0.00003037222,0.00001614406,0.00001336372,0.00002592884,0.000007285768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006442001,0.00003713674,0.0009316378,0.0007705964,0.00003058858,0.0005747128,0.0003637196,0.01655568,0.01124666,0.5102288,0.05821412,0.400982],"study_design_scores_gemma":[0.000004272317,0.0001169413,0.0006290834,0.0003354653,0.0000229181,0.0008715261,0.0001670385,0.01464417,0.002143043,0.03845187,0.9425796,0.00003396698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01447238,0.2050502,0.4184008,0.01307576,0.004441388,0.0001475655,0.0004220792,0.001404087,0.3425857],"genre_scores_gemma":[0.2954465,0.3183868,0.1688523,0.01002469,0.00690324,0.000260018,0.001061435,0.0004421929,0.1986228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003840467,"threshold_uncertainty_score":0.01284766,"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."}}