{"id":"W1504987172","doi":"10.1109/vetec.1993.507042","title":"RF prediction tools and database selection for cellular/mobile systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"SIGNAL (programming language); Selection (genetic algorithm); Terrain; Computer science; Database; Standard deviation; Radio frequency; Data mining; Artificial intelligence; Telecommunications; Statistics; Mathematics; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004598591,0.0007059183,0.0005655335,0.001368797,0.000625861,0.002130576,0.001643975,0.0005822254,0.003600481],"category_scores_gemma":[0.02124011,0.0004026535,0.0002746146,0.002036659,0.0003439406,0.002514911,0.0006836916,0.0005090575,0.001427178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006314302,"about_ca_system_score_gemma":0.000879029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006522867,"about_ca_topic_score_gemma":0.004935476,"domain_scores_codex":[0.997236,0.0008874197,0.0002421108,0.0003369761,0.001135764,0.0001617729],"domain_scores_gemma":[0.9878372,0.00658386,0.0008115491,0.00203159,0.00256668,0.0001690323],"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":[0.001057081,0.0002227456,0.03375789,0.0002985629,0.00008055711,0.0006351684,0.0003417768,0.2025267,0.01219312,0.0119892,0.02172082,0.7151765],"study_design_scores_gemma":[0.00009017326,0.0002803177,0.009115336,0.0001116128,0.00007613908,0.0007089592,0.0003147048,0.9370468,0.02621992,0.008540508,0.0174089,0.00008661357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1552435,0.001196633,0.8125855,0.0007876888,0.0001338406,0.0003198758,0.001239246,0.01923249,0.009261238],"genre_scores_gemma":[0.7643721,0.0005104069,0.229012,0.000143205,0.0000652886,0.0002040694,0.001988263,0.0005946599,0.003109861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006522867,"threshold_uncertainty_score":0.02431995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960186808014941,"score_gpt":0.2081198497797009,"score_spread":0.1685179816995515,"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."}}