{"id":"W4238896635","doi":"10.36227/techrxiv.14000510","title":"Capacity Analysis of IRS-Based UAV Communications with Imperfect Phase Compensation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Imperfect; Phase (matter); Computer science; Compensation (psychology); Monte Carlo method; SIGNAL (programming language); Telecommunications; Control theory (sociology); Physics; Mathematics; Statistics; 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":[0.001202708,0.0007785136,0.0007184596,0.001018409,0.0004781464,0.00130471,0.0007748584,0.0007743266,0.002206582],"category_scores_gemma":[0.005597325,0.0002651919,0.0004205664,0.001033522,0.001433083,0.001391428,0.001074297,0.0006309631,0.0003386601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00190999,"about_ca_system_score_gemma":0.0009310374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0051855,"about_ca_topic_score_gemma":0.00171008,"domain_scores_codex":[0.9988803,0.0003574689,0.00003023829,0.00009802609,0.0003253959,0.00030848],"domain_scores_gemma":[0.9950899,0.00336649,0.0004615641,0.0003141776,0.0006671526,0.0001007471],"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":[0.00006089901,0.00001379401,0.0004059369,0.00005798767,0.00002097264,0.0001926204,0.00005524838,0.9652184,0.003243498,0.02641397,0.0005773261,0.00373933],"study_design_scores_gemma":[0.000001905228,0.00001837641,0.0002464422,0.00001331977,0.00000722844,0.00007278373,0.00003078713,0.992605,0.001380107,0.005338477,0.0002747581,0.0000107749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4228533,0.004058249,0.5248967,0.001167405,0.0001297388,0.00007738257,0.0008583362,0.0005400843,0.04541877],"genre_scores_gemma":[0.9946812,0.0005013122,0.003213208,0.00004552192,0.00004897156,0.00002490656,0.00009869742,0.00002583994,0.001360338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0051855,"threshold_uncertainty_score":0.01385796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04680157984810004,"score_gpt":0.3006122061507323,"score_spread":0.2538106263026323,"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."}}