{"id":"W2947935952","doi":"","title":"Neural Network Based Spectrum Prediction in Land Mobile Radio Bands for IoT deployments","year":2019,"lang":"en","type":"article","venue":"Immunotechnology","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Autoregressive integrated moving average; Computer science; Artificial neural network; Time series; Real-time computing; Series (stratigraphy); Data mining; Artificial intelligence; Machine learning","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":[0.0002556124,0.0001705225,0.0002763435,0.0002181572,0.0000940156,0.00006006645,0.0004627249,0.0002232697,0.00001964059],"category_scores_gemma":[0.00001696663,0.0001724762,0.00008089245,0.0005706628,0.00004792128,0.0001238926,0.0001193964,0.0003146944,0.00002427144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161104,"about_ca_system_score_gemma":0.00005126585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000345289,"about_ca_topic_score_gemma":0.00008606205,"domain_scores_codex":[0.9985117,0.00004923618,0.0002771016,0.0004667537,0.0001143511,0.0005808937],"domain_scores_gemma":[0.9991602,0.0001556023,0.00008948579,0.0005389918,0.00002588721,0.00002987377],"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":[0.0005364658,0.0004123584,0.2960891,0.0000661657,0.0001575819,0.0001192309,0.0002430571,0.3113703,0.007290072,0.01829516,0.00137121,0.3640493],"study_design_scores_gemma":[0.002181984,0.0006869075,0.01982033,0.00004987076,0.000007162726,0.00004726927,0.000007347978,0.9667786,0.002002403,0.004500344,0.003696792,0.0002210232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8148624,0.0007736261,0.1803971,0.001184842,0.001351438,0.0008139632,0.00000451192,0.000437138,0.0001750131],"genre_scores_gemma":[0.9947169,0.00002003707,0.00478632,0.000180522,0.0001236447,0.00006061083,0.000009850491,0.00002038163,0.00008169709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6554083,"threshold_uncertainty_score":0.7033374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006323058237310393,"score_gpt":0.2165400253208443,"score_spread":0.2102169670835339,"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."}}