{"id":"W2127267402","doi":"10.1109/lawp.2010.2082486","title":"Combined Spatial-Polarization Correlation Function for Indoor Multipath Environments","year":2010,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multipath propagation; Antenna diversity; Polarization (electrochemistry); Spatial correlation; Diversity scheme; Computer science; Electronic engineering; Acoustics; Antenna (radio); Physics; Telecommunications; Fading; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001296869,0.0001638673,0.0001581627,0.0001251508,0.0001556656,0.00005983103,0.00005462749,0.0001094568,0.00001548266],"category_scores_gemma":[0.00001197593,0.0001584824,0.00005750497,0.0001123514,0.00005555751,0.0002932342,0.00000591973,0.0001656429,0.00001376239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001989153,"about_ca_system_score_gemma":0.000004911318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002431314,"about_ca_topic_score_gemma":0.00002020955,"domain_scores_codex":[0.9992076,0.00001882739,0.0002443805,0.0002114061,0.0001360422,0.0001817993],"domain_scores_gemma":[0.999669,0.00003362539,0.00007995008,0.000124692,0.00003003219,0.00006276558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004092248,0.0000214456,0.006461816,0.00003091921,0.00003932567,7.447373e-7,0.00009570761,0.0004473446,0.9839592,0.0001345695,0.00009301599,0.008675002],"study_design_scores_gemma":[0.0009201729,0.00005764011,0.0253131,0.00002139427,0.00007172939,0.000001723991,0.00003441414,0.9603634,0.01267036,0.00005593781,0.0002565083,0.0002335758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4703602,0.000006038088,0.5287822,0.0001522055,0.0003956502,0.0002223107,0.000006673457,0.00006924551,0.000005510679],"genre_scores_gemma":[0.9987037,0.00002907569,0.0004283159,0.0003166686,0.0001685159,0.00006457408,0.0001520213,0.00003564569,0.0001014408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9712888,"threshold_uncertainty_score":0.6462723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006078302920744796,"score_gpt":0.1828887203379033,"score_spread":0.1768104174171585,"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."}}