{"id":"W2139023030","doi":"10.1109/glocom.1996.591911","title":"Millimeter radio access to multimedia services via LMDS","year":2002,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Local Multipoint Distribution Service; Computer science; Broadband; Broadband networks; Computer network; Telecommunications; Wireless broadband; Wireless; Teleconference; Remote radio head; Radio spectrum; Wireless network; Cognitive radio","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":[0.0001254533,0.0003945814,0.0002043925,0.0002070112,0.0006001659,0.001643735,0.0005605745,0.001190751,0.006345791],"category_scores_gemma":[0.0002429248,0.0001260634,0.0002434008,0.0003404892,0.0005127598,0.001178114,0.0009089888,0.0004734186,0.001115473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401338,"about_ca_system_score_gemma":0.0002626918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264556,"about_ca_topic_score_gemma":0.001735116,"domain_scores_codex":[0.9998569,0.00003143489,0.000004296557,0.00001799877,0.00002881398,0.00006040616],"domain_scores_gemma":[0.9999435,0.00002071627,0.00001017802,0.000006849808,0.000009188881,0.000009619309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008827916,0.00009455287,0.001729495,0.0002337877,0.00001722639,0.00169511,0.0001932609,0.02509371,0.02295035,0.8663084,0.007689396,0.07390636],"study_design_scores_gemma":[0.00005492513,0.0005524064,0.002715965,0.0001685716,0.00009043808,0.003648331,0.00102354,0.1790662,0.024263,0.3130097,0.4753352,0.00007168754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1887636,0.01185022,0.2792011,0.00973051,0.000959386,0.0001855934,0.0004989569,0.0003683975,0.5084422],"genre_scores_gemma":[0.9114322,0.005645534,0.04461247,0.0008186852,0.0004885652,0.0001176131,0.00009874337,0.00002591586,0.03676026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006345791,"threshold_uncertainty_score":0.02122873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242588139040904,"score_gpt":0.3088670888365697,"score_spread":0.2564412074461606,"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."}}