{"id":"W1973091847","doi":"10.1016/j.jfranklin.2006.08.001","title":"A time-varying stochastic framework for modeling wireless channels","year":2006,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Satellite Communication Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Wireless; Computer network; Telecommunications","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":[0.002563168,0.001513317,0.00147399,0.0008500678,0.0007545232,0.001851746,0.002627137,0.002168132,0.001692265],"category_scores_gemma":[0.005305397,0.0009922902,0.001497576,0.001446758,0.00157724,0.002150533,0.001392393,0.002486592,0.0004697469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425358,"about_ca_system_score_gemma":0.001507021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379439,"about_ca_topic_score_gemma":0.01079298,"domain_scores_codex":[0.9988171,0.0005496648,0.00005983738,0.0002059278,0.0002315318,0.0001358935],"domain_scores_gemma":[0.9974455,0.001747861,0.0002418404,0.0001467788,0.0003001429,0.0001179439],"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":[0.00001585454,0.0000195655,0.0001512116,0.00002513534,0.00003131129,0.00005907385,0.00002930995,0.8994536,0.0004512687,0.09590705,0.0004582811,0.003398355],"study_design_scores_gemma":[0.000003594145,0.000005883235,0.00002494897,0.00000249443,0.000007170922,0.00000770687,0.000003116605,0.9882676,0.00003635071,0.01136646,0.0002694083,0.000005225546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004749571,0.0003403272,0.993573,0.0002048134,0.00005607522,0.00001512899,0.00008449448,0.00007189031,0.0009048628],"genre_scores_gemma":[0.7665592,0.003884816,0.21348,0.0003030667,0.000719308,0.0003314611,0.0006380756,0.0001899544,0.01389411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01379439,"threshold_uncertainty_score":0.02742821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02944627353232449,"score_gpt":0.2559435037745805,"score_spread":0.226497230242256,"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."}}