{"id":"W4234233821","doi":"10.22215/etd/2008-08188","title":"Fuzzy-logic based QoS and fault diagnosis mechanisms for broadband statellite networks under dynamic weather conditions","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Fuzzy logic; Computer science; Broadband; Quality of service; Telecommunications; Artificial intelligence","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":[0.0006966249,0.0002972692,0.0002493152,0.0006147031,0.0005331757,0.0009912777,0.0008775669,0.000713828,0.003418938],"category_scores_gemma":[0.002239344,0.0001496461,0.000301817,0.0001959153,0.0003364315,0.001079638,0.0003001647,0.0005550975,0.0004152808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112503,"about_ca_system_score_gemma":0.000618635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004322336,"about_ca_topic_score_gemma":0.005724227,"domain_scores_codex":[0.9997002,0.0000389799,0.00002274389,0.00005295006,0.0001293148,0.00005584539],"domain_scores_gemma":[0.99909,0.0002963665,0.000108848,0.00009106086,0.0003711541,0.00004263738],"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":[0.00198603,0.0006645084,0.004218138,0.0002218989,0.0001104251,0.0005782705,0.0004206462,0.2775653,0.1409976,0.03225808,0.006714895,0.5342641],"study_design_scores_gemma":[0.00005448849,0.0001718757,0.001319858,0.00002556349,0.0000474527,0.0001210052,0.00008568328,0.9517974,0.03605023,0.007952423,0.002350809,0.00002339506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2162395,0.0005811087,0.76605,0.001021514,0.0002109829,0.0001915522,0.0001710545,0.002866087,0.0126682],"genre_scores_gemma":[0.9509289,0.0001519175,0.04442596,0.00007615582,0.00003122747,0.00002965924,0.00008470279,0.00001503999,0.004256586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004322336,"threshold_uncertainty_score":0.01143754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009557008997625861,"score_gpt":0.2496366017738922,"score_spread":0.2400795927762664,"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."}}