{"id":"W4241300310","doi":"10.1007/978-3-319-78262-1_203","title":"Cooperative Cognitive Radio Networks","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cognitive radio; Cognition; Computer science; Geography; Psychology; Telecommunications; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712185,0.0006528514,0.0003004851,0.0003996613,0.0003853262,0.001180601,0.0008339075,0.000604548,0.01268779],"category_scores_gemma":[0.0005276949,0.0001915831,0.0001676839,0.0007287401,0.0004423734,0.001026266,0.0009530032,0.0007667763,0.005871985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005231891,"about_ca_system_score_gemma":0.0005604767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007679954,"about_ca_topic_score_gemma":0.001604723,"domain_scores_codex":[0.999849,0.00002085783,0.000003348491,0.00003126984,0.00007671554,0.00001879997],"domain_scores_gemma":[0.9998504,0.00005690719,0.000009431657,0.00003086969,0.0000385812,0.00001380262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003985688,0.00007062352,0.00009878738,0.0002513837,0.00001974357,0.0001431587,0.0001768644,0.01248156,0.005096203,0.2642822,0.1357083,0.5816313],"study_design_scores_gemma":[0.000008339691,0.00006082894,0.0002795229,0.0001311515,0.00001894465,0.0004042565,0.00009287371,0.02068566,0.001995569,0.1723446,0.8039598,0.00001845397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004341526,0.02753233,0.1680286,0.001375475,0.002783872,0.00006586622,0.0001357051,0.0005649971,0.7951716],"genre_scores_gemma":[0.1190421,0.03300359,0.03789089,0.001183518,0.001707165,0.0001749497,0.0003393176,0.0001474397,0.8065111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01268779,"threshold_uncertainty_score":0.04244494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912205252916151,"score_gpt":0.2242794525807441,"score_spread":0.2051574000515825,"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."}}