{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007201078,0.001173952,0.0005915936,0.0006985518,0.0002616033,0.0009164333,0.000998872,0.000996798,0.001639701],"category_scores_gemma":[0.001175324,0.0003554005,0.0008265388,0.001545651,0.0005504403,0.001348791,0.000750339,0.001019034,0.001437888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006502148,"about_ca_system_score_gemma":0.001000484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002044593,"about_ca_topic_score_gemma":0.002335521,"domain_scores_codex":[0.999319,0.0001595009,0.00001921176,0.00008139596,0.0003345321,0.00008650404],"domain_scores_gemma":[0.9994178,0.0001634946,0.00006665714,0.00008421351,0.0002468061,0.00002112339],"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":[0.00004957191,0.00004306714,0.001009175,0.0001490343,0.00006541584,0.0003578769,0.00007211474,0.8468298,0.0137457,0.09240705,0.003760284,0.04151091],"study_design_scores_gemma":[0.000002162662,0.00001672752,0.0002245005,0.000007395213,0.000009199744,0.0001363754,0.00001173588,0.9906802,0.001610827,0.005645015,0.001641185,0.00001465624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003603042,0.0002348547,0.9932782,0.00005642067,0.0000260319,0.00001170589,0.00007813104,0.00008349105,0.002628118],"genre_scores_gemma":[0.6142958,0.004312019,0.3585899,0.0004280403,0.0003117022,0.0003470868,0.0009598627,0.0003520719,0.02040341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002044593,"threshold_uncertainty_score":0.005485296,"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."}}