{"id":"W4207035560","doi":"10.1109/tccn.2021.3105790","title":"IEEE Communications Society","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Canadian Standards Association; University of Windsor","funders":"","keywords":"Computer science; Telecommunications; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000335634,0.0002498569,0.0002711152,0.00009294899,0.002069316,0.0003554615,0.001005097,0.0001191993,0.00001370781],"category_scores_gemma":[0.000005781891,0.0002813218,0.0002272857,0.001006679,0.0004149648,0.0003807351,0.00007138091,0.0007683696,0.00002084666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006875808,"about_ca_system_score_gemma":0.0001281875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002002229,"about_ca_topic_score_gemma":0.0003022079,"domain_scores_codex":[0.9981276,0.0004128383,0.0003599167,0.0005000439,0.0002062315,0.0003933047],"domain_scores_gemma":[0.9954279,0.00170973,0.0001240693,0.002157653,0.0004272317,0.0001534179],"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":[0.000008509129,0.0003759024,0.00004365311,0.0000104115,0.0002141862,0.000008410608,0.001112769,0.00007912749,0.0005257532,0.003481231,0.000186582,0.9939535],"study_design_scores_gemma":[0.001454164,0.0001610806,0.0002481317,0.0008991386,0.0002236863,0.0002750697,0.001137654,0.9565786,0.004769111,0.003007729,0.03031481,0.000930805],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0011635,0.00668028,0.981441,0.003079722,0.0004865068,0.0002110955,0.00001860485,0.000228831,0.006690495],"genre_scores_gemma":[0.9227315,0.0410981,0.0341507,0.001627238,0.0001027992,0.0000558126,0.00001635263,0.00002563489,0.0001918658],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9930227,"threshold_uncertainty_score":0.9999639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05066990834832397,"score_gpt":0.2885660561707359,"score_spread":0.237896147822412,"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."}}