{"id":"W1970219176","doi":"10.1007/s11036-013-0438-y","title":"Editorial for the Special Issue: Green Cognitive and Cooperative Communication and Networking","year":2013,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Telecommunications; Cognitive radio; Efficient energy use; Wireless; Cognition; Cognitive network; Electrical engineering; Engineering; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001405663,0.0001227589,0.000122577,0.00001800319,0.0005108755,0.0001437189,0.0001234684,0.0001024283,0.00002993563],"category_scores_gemma":[0.00000378369,0.0001013418,0.00001997316,0.0001230919,0.0001618657,0.00008480335,0.00009342789,0.0001599874,0.00000356811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008702564,"about_ca_system_score_gemma":0.00000475781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003782231,"about_ca_topic_score_gemma":0.00005440975,"domain_scores_codex":[0.9994476,0.00003673078,0.0001618741,0.0001446762,0.00005473668,0.0001543949],"domain_scores_gemma":[0.9990037,0.0005443605,0.00003781448,0.0002515829,0.0000952261,0.00006731041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001537086,0.00002795049,0.0001602112,0.00002325195,0.0001030127,3.428949e-8,0.0003271455,0.01887887,0.00004238296,0.002202655,0.2127146,0.7655045],"study_design_scores_gemma":[0.0003146646,0.00002073491,0.0002580123,0.00001929018,0.00003572794,0.000001563157,0.0002039556,0.275675,0.000004664888,0.0002878433,0.7230613,0.0001172871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004985915,0.09547761,0.8640969,0.0018236,0.00772348,0.01517027,0.00006242388,0.0004835294,0.01017626],"genre_scores_gemma":[0.8659275,0.03415089,0.0004437176,0.0003156001,0.08783644,0.01083363,0.0001613639,0.00005548378,0.0002753787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8636532,"threshold_uncertainty_score":0.4132597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006370887956465141,"score_gpt":0.2238594014907404,"score_spread":0.2174885135342752,"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."}}