{"id":"W1935178354","doi":"10.1175/bams-d-15-00048.1","title":"The Threat to Weather Radars by Wireless Technology","year":2015,"lang":"en","type":"article","venue":"Bulletin of the American Meteorological Society","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Wireless; Radar; Telecommunications; Process (computing); Wireless network; Computer science; Radio spectrum; Weather radar; Work (physics); 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":[0.0009210416,0.0001133433,0.0002336663,0.00001228203,0.0002330007,0.00002473997,0.0007235872,0.00004919103,0.0004106211],"category_scores_gemma":[0.000256396,0.00005165854,0.0002135594,0.0005342828,0.000796475,0.000009624428,0.00005795774,0.0001496549,0.0001598252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008260768,"about_ca_system_score_gemma":0.00002055443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007623963,"about_ca_topic_score_gemma":0.00005724527,"domain_scores_codex":[0.9987211,0.0002138635,0.0001944829,0.000204163,0.0003985089,0.0002678483],"domain_scores_gemma":[0.9991016,0.0002435956,0.0001840966,0.0002828811,0.0000794476,0.0001083874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001455437,0.00004938926,0.4064916,0.000002442753,0.0002089003,6.065645e-7,0.0003135398,0.0005775596,0.001170694,0.0001933556,0.4447548,0.1460915],"study_design_scores_gemma":[0.0005743977,0.0009716745,0.144883,0.00001075086,0.0001352984,0.000004146909,0.006672146,0.0008656517,0.001826906,0.004534804,0.8391197,0.0004014663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409244,0.0006284846,0.0003025395,0.05559494,0.0000846657,0.000150041,0.00001957085,0.00004378783,0.002251585],"genre_scores_gemma":[0.9929222,0.0001119828,0.002559347,0.003465528,0.00003160574,0.000003896776,0.000003573078,0.000002820098,0.0008990874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3943649,"threshold_uncertainty_score":0.4496013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173076436645096,"score_gpt":0.2233788541627703,"score_spread":0.2060712104982607,"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."}}