{"id":"W4242344501","doi":"10.1109/isspit.2018.8642773","title":"Narrowband Data Transmission in TV White Space: An Experimental Performance Analysis","year":2018,"lang":"en","type":"article","venue":"","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Narrowband; White spaces; Computer science; Transmission (telecommunications); Data transmission; Space (punctuation); Telecommunications; Computer network; Wireless; Cognitive radio","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009931659,0.00007545527,0.00009728092,0.0001890269,0.0000590561,0.000025031,0.0005439076,0.00005324117,0.0002886219],"category_scores_gemma":[0.000002845056,0.00006541704,0.00001404339,0.0005769446,0.00004785045,0.0002910044,0.00008940699,0.00008947582,0.00001041078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002081449,"about_ca_system_score_gemma":0.000004014469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003244029,"about_ca_topic_score_gemma":0.0001447753,"domain_scores_codex":[0.9995486,0.000008950515,0.0001190605,0.000138392,0.0000556354,0.0001293436],"domain_scores_gemma":[0.9990531,0.000006831653,0.000009626587,0.0008965328,0.00001000919,0.00002394478],"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":[0.00006948686,0.0007222368,0.2472269,0.00009827595,0.0004868557,0.000006920287,0.008307447,0.03261198,0.2040478,0.000409985,0.01108704,0.4949251],"study_design_scores_gemma":[0.0001573546,0.00007119657,0.01566803,0.00001313611,0.00002284785,0.000001803878,0.0006681714,0.9255779,0.05125165,0.000007170961,0.006404519,0.0001562581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898106,0.0003264035,0.005656078,0.00008738714,0.00001757436,0.00004382502,0.000003711681,0.0005154648,0.003538967],"genre_scores_gemma":[0.9571561,0.00008152967,0.04261344,0.000005314143,0.00001258456,0.000004314313,0.00004242187,0.000008591051,0.00007567163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8929659,"threshold_uncertainty_score":0.3160207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03657444153567051,"score_gpt":0.2839843723625016,"score_spread":0.2474099308268311,"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."}}