{"id":"W2029111222","doi":"10.1109/igarss.2014.6946396","title":"Radio frequency interference observations using an L-Band direct sampling receiver during the SMAPVEX12 airborne campaign","year":2014,"lang":"en","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jet Propulsion Laboratory","keywords":"Radiometer; Remote sensing; Bandwidth (computing); Electromagnetic interference; Radio frequency; Sampling (signal processing); Interference (communication); Jet propulsion; Environmental science; Computer science; Telecommunications; Engineering; Geography; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003212399,0.000489372,0.0004881076,0.0005375802,0.0006413403,0.0004291747,0.0004224771,0.0004034475,0.0007393394],"category_scores_gemma":[0.0002926448,0.0001845022,0.0001607816,0.0007033793,0.0001835844,0.0002533819,0.0003365656,0.0004493056,0.0003297353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003214626,"about_ca_system_score_gemma":0.0003032742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01137374,"about_ca_topic_score_gemma":0.02939099,"domain_scores_codex":[0.999674,0.00003635137,0.00001074573,0.00006936197,0.0001473519,0.00006228355],"domain_scores_gemma":[0.999773,0.00003372658,0.000031611,0.00003068534,0.0001083737,0.0000227393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002066053,0.0009485986,0.2526886,0.0002521209,0.0002033368,0.0009001812,0.001207264,0.00678858,0.6385008,0.0002397413,0.004279816,0.09192491],"study_design_scores_gemma":[0.0001602081,0.00105507,0.8800331,0.00002252455,0.0001181172,0.0003717128,0.0003383565,0.01142124,0.09578847,0.00006608829,0.01057406,0.00005111906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871194,0.00008039624,0.004396928,0.00003084341,0.00002109226,0.00007433565,0.001748223,0.0003655296,0.006163315],"genre_scores_gemma":[0.9891452,0.0000768978,0.00632408,0.00005024642,0.00002516298,0.00007977392,0.002484414,0.00007115446,0.001743189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01137374,"threshold_uncertainty_score":0.02261508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255060457424083,"score_gpt":0.2429928155352522,"score_spread":0.2004422109610114,"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."}}