{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008660516,0.00006641451,0.00006552631,0.00004727857,0.00005044961,0.00005347807,0.00002691373,0.00003913801,0.00007930819],"category_scores_gemma":[0.00001246525,0.00006410611,0.00001589076,0.00004758067,0.0000038639,0.0001866418,0.000008372048,0.00004206832,0.00001398749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305798,"about_ca_system_score_gemma":0.000001245137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005475062,"about_ca_topic_score_gemma":0.000002853114,"domain_scores_codex":[0.9996019,0.00000503295,0.0001309967,0.0001071031,0.00005319202,0.0001017578],"domain_scores_gemma":[0.999805,0.00002045581,0.00001090996,0.00009381824,0.00002940489,0.00004039717],"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":[0.000004657581,0.00002282984,0.0001498436,0.0003807399,0.00003431731,2.928848e-7,0.0001684558,0.1049352,0.8705819,0.0001504019,0.01212239,0.01144893],"study_design_scores_gemma":[0.0001835744,0.00003322304,0.000003775476,0.00001308898,0.00001023432,0.000004884925,0.0000384031,0.9138675,0.07908558,0.00000820864,0.006683819,0.00006768532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09133311,0.0006052427,0.9051989,0.000006320972,0.0002790993,0.0004064698,0.00007574641,0.00029817,0.00179693],"genre_scores_gemma":[0.9962178,0.0001450733,0.002458935,0.00001275291,0.0001276962,0.0001467558,0.00007970091,0.00001710429,0.0007941244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9048848,"threshold_uncertainty_score":0.2614172,"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."}}