{"id":"W6977083055","doi":"10.60692/nf3qt-ggc30","title":"A Cognitive Radio Enabled RF/FSO Communication Model for Aerial Relay Networks: Possible Configurations and Opportunities","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Optical Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cognitive radio; Relay; Backup; Channel (broadcasting); Path loss; Communications system; Radio frequency; Wireless","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":[0.0002194816,0.0001677816,0.0002420421,0.0001430966,0.0002635397,0.0002995544,0.0001904648,0.0001852712,0.000007523811],"category_scores_gemma":[0.00007332699,0.0001709296,0.00004980942,0.0001413678,0.00008508733,0.0008313884,0.0000927999,0.0001521102,0.00001813041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000856052,"about_ca_system_score_gemma":0.00005050766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001116697,"about_ca_topic_score_gemma":7.131079e-7,"domain_scores_codex":[0.9989818,0.00004698378,0.0005526244,0.00009725685,0.0001151271,0.0002062565],"domain_scores_gemma":[0.9988117,0.00007404356,0.0001295698,0.0005145664,0.0004048997,0.00006525229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000318566,0.00002671414,0.002055537,0.0027552,0.0009196961,0.000006279536,0.165682,0.6335385,0.00009939531,0.1723879,0.002246703,0.01996352],"study_design_scores_gemma":[0.0009422565,0.00001401752,0.0002636857,0.000200849,0.00003578981,0.00002036461,0.01979432,0.9774141,0.0008735971,0.00002527498,0.0002121307,0.0002035919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1305416,0.0002787149,0.8599485,0.0002752359,0.000169917,0.0007407322,0.0002801631,0.001410541,0.00635457],"genre_scores_gemma":[0.9950413,0.00006603581,0.00391794,0.00006142424,0.00002039269,0.0004410663,0.000282111,0.00001972061,0.0001500865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8644996,"threshold_uncertainty_score":0.6970308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06219600967991556,"score_gpt":0.2279699666208148,"score_spread":0.1657739569408992,"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."}}