{"id":"W4292826009","doi":"10.1109/jiot.2022.3200955","title":"Increasing the Uniform Degrees of Freedom for Moving <i>q</i>-Dilated Arrays","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Chongqing Municipal Education Commission; China Postdoctoral Science Foundation","keywords":"Notation; Mathematics; Combinatorics; Discrete mathematics; Algorithm; Computer science; Arithmetic","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0007441126,0.00009683645,0.0001673427,0.000111252,0.0001050553,0.00003616573,0.0003533212,0.00003286851,0.00006602843],"category_scores_gemma":[0.00006672246,0.00007629628,0.0001231303,0.0001154072,0.0000401319,0.0002106378,0.00003661999,0.0003275145,4.213462e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007420211,"about_ca_system_score_gemma":0.00002122323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009293393,"about_ca_topic_score_gemma":0.000002751414,"domain_scores_codex":[0.9991414,0.00004455326,0.0003904372,0.00006166531,0.0002099159,0.0001520198],"domain_scores_gemma":[0.9994154,0.0001313149,0.0002211955,0.00009456363,0.000106023,0.00003147902],"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":[0.0001289443,0.00002169419,0.0003761634,0.00004424507,0.0001270433,0.000003684947,0.00331726,0.9330045,0.05995673,0.0002447598,0.001784392,0.0009905577],"study_design_scores_gemma":[0.0003472287,0.0001100777,0.00006564682,0.00008608581,0.00003443856,0.0002611112,0.0006161181,0.9910619,0.006609018,0.000200428,0.000519392,0.00008852332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3195628,0.0002961024,0.678426,0.00005225352,0.0009034816,0.0001273413,0.000006957661,0.00004617769,0.0005789416],"genre_scores_gemma":[0.9791977,0.00002574402,0.0205393,0.00004329431,0.00008217852,0.000004573697,0.00000235944,0.00002697913,0.00007784064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6596349,"threshold_uncertainty_score":0.3111272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321984238262606,"score_gpt":0.2066373510975509,"score_spread":0.1934175087149249,"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."}}