{"id":"W4406833355","doi":"10.1016/j.adhoc.2025.103765","title":"Location estimation for supporting adaptive beamforming","year":2025,"lang":"en","type":"article","venue":"Ad Hoc Networks","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"EIT Digital; European Institute of Innovation and Technology; Engineering and Physical Sciences Research Council; UK National Ion Beam Centre; University of Glasgow; James Watt School of Engineering, University of Glasgow; University of Guelph","keywords":"Estimation; Beamforming; Computer science; Adaptive beamformer; Telecommunications; Engineering; Systems engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000520548,0.001006889,0.0005304914,0.0007054002,0.000406273,0.000776169,0.001135323,0.0008799738,0.005031724],"category_scores_gemma":[0.003554643,0.0003548133,0.0004807899,0.0008103039,0.0004205345,0.001526767,0.001473234,0.001204997,0.003346846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004695669,"about_ca_system_score_gemma":0.0007884308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003480436,"about_ca_topic_score_gemma":0.004483468,"domain_scores_codex":[0.9994168,0.0001088701,0.00003180242,0.0001703137,0.0002035623,0.0000686108],"domain_scores_gemma":[0.9992396,0.0002076468,0.0000783805,0.0001683275,0.0002737009,0.00003230914],"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":[0.0002594371,0.00007447015,0.002779403,0.0001819352,0.00006523294,0.0001659822,0.00009274423,0.330823,0.02960967,0.01643415,0.007499077,0.6120149],"study_design_scores_gemma":[0.00001341868,0.00004769652,0.0005911216,0.00002662652,0.00001292163,0.0001136741,0.00002765464,0.977507,0.007007986,0.00813444,0.006498727,0.00001870325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004508544,0.0001531606,0.9919319,0.0001343792,0.00008080098,0.00001599602,0.0001657339,0.0007588016,0.002250655],"genre_scores_gemma":[0.5148862,0.0008097488,0.4741971,0.0004432895,0.0003065372,0.0001373023,0.001408465,0.0002255948,0.007585747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005031724,"threshold_uncertainty_score":0.01683283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006812676455384279,"score_gpt":0.2404513138539099,"score_spread":0.2336386373985257,"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."}}