{"id":"W2738295454","doi":"10.1109/bmsb.2017.7986202","title":"Integration of intelligent tasking subsystem in spectrum environment awareness applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Agile software development; Spectrum management; Computer science; Key (lock); Wireless; Systems engineering; Architecture; Telecommunications; Government (linguistics); Interference (communication); Embedded system; Computer security; Engineering; Software engineering; Channel (broadcasting); 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":[0.0002335551,0.00008742694,0.0001466847,0.0000869047,0.0001664586,0.0001352207,0.0005001768,0.00003204164,0.00001184718],"category_scores_gemma":[0.0000091377,0.00007817134,0.00004247,0.00007571859,0.00004488443,0.0002434333,0.000161289,0.00007680677,0.00001395864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008473342,"about_ca_system_score_gemma":0.00002256951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003477474,"about_ca_topic_score_gemma":0.0007309222,"domain_scores_codex":[0.9991658,0.00003009515,0.0002464767,0.000259322,0.000142276,0.0001559929],"domain_scores_gemma":[0.999074,0.0000446911,0.0001671126,0.0006634728,0.00001558689,0.00003507411],"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":[0.000007280577,0.0001809081,0.02329654,0.00002722873,0.00002108701,0.00001525278,0.0009119732,0.001609786,0.006487786,0.4772383,0.00002345497,0.4901804],"study_design_scores_gemma":[0.0004369164,0.00008343389,0.1706774,0.0002515234,0.00001060578,0.00002582422,0.0002813062,0.7013563,0.105592,0.01875216,0.002098404,0.0004340641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03464722,0.00006321825,0.9597961,0.0004537279,0.00008841504,0.0002257006,6.270976e-7,0.00002382169,0.004701229],"genre_scores_gemma":[0.9926889,0.00006227912,0.007088616,0.00001651751,0.0000519424,0.00001558735,0.000001616292,0.000004457955,0.00007009219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9580417,"threshold_uncertainty_score":0.3187735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723834836379248,"score_gpt":0.266547250100159,"score_spread":0.2393089017363665,"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."}}