{"id":"W2017284771","doi":"10.1049/el:20000699","title":"Efficient wideband digital correlation","year":2000,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"Wideband; Electronic engineering; Computer science; Interferometry; Resolution (logic); Digital radio; Algorithm; Telecommunications; Physics; Engineering; Optics; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004792034,0.00008648841,0.00006120125,0.00001278901,0.00009283226,0.00004116887,0.00007058479,0.00003313006,0.0003925878],"category_scores_gemma":[0.000005310143,0.00007624721,0.0000407182,0.0001270976,0.00006254746,0.00005540732,0.00001398738,0.0001278429,0.001317797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167862,"about_ca_system_score_gemma":0.000004552889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003328631,"about_ca_topic_score_gemma":0.00004353738,"domain_scores_codex":[0.999243,0.0000115464,0.00009253163,0.0001850534,0.0001835029,0.0002844132],"domain_scores_gemma":[0.9997879,0.00001954637,0.00002115948,0.0001272495,0.000001213288,0.00004293528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004698012,0.00007334907,0.01640312,0.000001845348,0.00001946218,0.00002435506,0.0005423421,0.3375928,0.03386281,0.00004114658,0.0167753,0.5946165],"study_design_scores_gemma":[0.001723325,0.000264139,0.2021175,0.00003469624,0.00006499119,0.00023631,0.00004127616,0.1684883,0.006880262,0.0006609825,0.6181965,0.001291717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346377,0.00006274915,0.0009711495,0.001432949,0.00007038366,0.00007325059,2.168854e-7,0.00004658682,0.062705],"genre_scores_gemma":[0.9971434,0.000006330129,0.00009039604,0.001693445,0.00004798231,3.216737e-7,0.000006037576,0.00001088826,0.001001168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6014212,"threshold_uncertainty_score":0.9994598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002292794324805108,"score_gpt":0.1696777309055308,"score_spread":0.1673849365807256,"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."}}