{"id":"W1573122044","doi":"","title":"Pattern Diversity versus Polarization Diversity in UMTS Mobile Phones","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wireless Edge (Canada)","funders":"","keywords":"Mobile phone; UMTS frequency bands; Polarization (electrochemistry); Azimuth; Antenna (radio); Computer science; Antenna diversity; Telecommunications; Electronic engineering; Physics; Electrical engineering; Optics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001377331,0.000277227,0.00033485,0.0002779675,0.0003888991,0.0001306343,0.0008814709,0.0002756819,0.0001156776],"category_scores_gemma":[0.0001407692,0.0003350784,0.0001893436,0.0004075232,0.00007392824,0.0001518233,0.002366072,0.0005292156,0.00004232582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002146477,"about_ca_system_score_gemma":0.00003728288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166969,"about_ca_topic_score_gemma":0.003543856,"domain_scores_codex":[0.9975344,0.001107562,0.0002923342,0.0004525528,0.0003278739,0.0002852801],"domain_scores_gemma":[0.9980978,0.0002715581,0.0001403803,0.0009132038,0.0004607217,0.0001162748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001708757,0.002751896,0.4805997,0.001339804,0.001321281,0.000147989,0.1091758,0.02407257,0.0170823,0.00696485,0.002439269,0.3539337],"study_design_scores_gemma":[0.003150126,0.000001861411,0.1539885,0.002434614,0.00037859,0.000003789207,0.0009473584,0.8232362,0.009582108,0.002791338,0.001461637,0.002023903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5490443,0.001127875,0.4408271,0.0005756178,0.0003599792,0.0003539204,0.00007871789,0.0004863051,0.007146191],"genre_scores_gemma":[0.9958507,0.0008737145,0.001967962,0.00002752419,0.00001677423,0.000009270575,0.0004002202,0.00002329482,0.0008305597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7991636,"threshold_uncertainty_score":0.9999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706679964576234,"score_gpt":0.2079761321769833,"score_spread":0.1909093325312209,"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."}}