{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007313389,0.0006156834,0.0005497975,0.0006843301,0.0005123407,0.0004723134,0.0007218871,0.0006567123,0.00297902],"category_scores_gemma":[0.00161752,0.0001525504,0.0002700128,0.0005364584,0.0005951452,0.0005704598,0.000435767,0.0004965662,0.0004401204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005054387,"about_ca_system_score_gemma":0.000259741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634906,"about_ca_topic_score_gemma":0.0008473417,"domain_scores_codex":[0.9991444,0.0001425166,0.00006369993,0.0001546932,0.000274968,0.0002195571],"domain_scores_gemma":[0.9973253,0.001068891,0.0003269944,0.0003342643,0.0007490789,0.0001954814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003381359,0.003074091,0.01098256,0.0005467072,0.0002032551,0.0008656061,0.001023128,0.03466935,0.9064812,0.001573659,0.001518924,0.03568021],"study_design_scores_gemma":[0.0001587261,0.01153392,0.01246537,0.00004128765,0.0001470984,0.0005572133,0.0004955474,0.1004863,0.8715411,0.0003780099,0.002132366,0.00006303041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867115,0.00009383819,0.01094674,0.0000619066,0.00004750493,0.00006364116,0.0003128841,0.0003908724,0.001371024],"genre_scores_gemma":[0.9960248,0.00007974765,0.002673043,0.0000168849,0.0000114476,0.00005216494,0.0001880037,0.00003100371,0.0009228944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00297902,"threshold_uncertainty_score":0.009965777,"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."}}