{"id":"W3085286216","doi":"10.1109/access.2020.3019907","title":"IEEE Access Special Section Editorial: Advances in Statistical Channel Modeling for Future Wireless Communications Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wireless; Rician fading; Computer science; Channel (broadcasting); Fading; MIMO; Nakagami distribution; Electronic engineering; Wireless network; Communications system; Telecommunications; Engineering","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":[0.002976695,0.001996976,0.001697615,0.001766211,0.00112822,0.004160965,0.002578103,0.005927396,0.02242882],"category_scores_gemma":[0.01099615,0.0006380815,0.001446834,0.00109198,0.001231081,0.002901376,0.0007411848,0.00891649,0.01403985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506843,"about_ca_system_score_gemma":0.001150217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007292322,"about_ca_topic_score_gemma":0.001406948,"domain_scores_codex":[0.9985671,0.0002505358,0.0001819702,0.0002624561,0.0006374801,0.0001004199],"domain_scores_gemma":[0.9877237,0.004767872,0.0006418009,0.0004802784,0.005282458,0.001103895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000284345,0.00001840795,0.00005372386,0.0002107565,0.0000169772,0.00009200975,0.000007958281,0.0002375631,0.0001234371,0.001940198,0.9844621,0.01280834],"study_design_scores_gemma":[0.00001939357,0.00004849533,0.0002213702,0.0002392537,0.00004106355,0.0002732298,0.00001786194,0.001598208,0.0002190028,0.004238172,0.9930605,0.00002343348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000132525,0.008034477,0.002308087,0.0260057,0.9576219,0.00002504881,0.0001311369,0.0001727819,0.005568411],"genre_scores_gemma":[0.001325382,0.009472741,0.0005277712,0.005313397,0.9728975,0.00002169612,0.00008205987,0.00007381816,0.01028568],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02242882,"threshold_uncertainty_score":0.07503182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710449088737677,"score_gpt":0.3192748007275271,"score_spread":0.2621703098401503,"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."}}