{"id":"W4236693971","doi":"10.1007/978-3-319-78262-1_133","title":"Interference Mitigation in Wireless Communications-Based Train Control (CBTC), Cognitive Control Approach","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Wireless Communication Networks Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Wireless; Interference (communication); Cognitive radio; Computer science; Control (management); Computer network; Telecommunications; Channel (broadcasting); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.001019471,0.0006026582,0.0009564981,0.0005330562,0.0002143175,0.0003931198,0.006896429,0.000544986,0.00008867064],"category_scores_gemma":[0.0001505062,0.0006244853,0.0002509776,0.0003597871,0.000671526,0.0004512743,0.0009206563,0.002186343,0.0002129327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002976333,"about_ca_system_score_gemma":0.0006681113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005167107,"about_ca_topic_score_gemma":0.0001967843,"domain_scores_codex":[0.9957373,0.0008252643,0.001068211,0.001042163,0.0008054927,0.0005215907],"domain_scores_gemma":[0.9925857,0.002717782,0.0005218024,0.003239234,0.0006386692,0.0002968104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001547699,0.0002436106,0.0001187084,0.0001045018,0.0001795884,0.00001834013,0.000456849,0.0004531522,0.0001107967,0.9364882,0.0006986767,0.06097281],"study_design_scores_gemma":[0.003723115,0.0001477845,0.0001815448,0.0005517386,0.00003281391,0.000005503891,0.00004563431,0.9871963,0.00003868416,0.005478676,0.001909583,0.0006886307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000008749335,0.0005379944,0.7229187,0.006196392,0.00005251349,0.001649,0.0000752213,0.0002823017,0.268279],"genre_scores_gemma":[0.9766865,0.0002356615,0.01167796,0.002616083,0.00006588874,0.0005075131,0.0003652542,0.00007786128,0.00776729],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9867432,"threshold_uncertainty_score":0.9996207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04960104500833432,"score_gpt":0.2836998693620923,"score_spread":0.234098824353758,"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."}}