{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810899,0.0005231136,0.0004213947,0.00102398,0.0004954949,0.0009207512,0.0006603625,0.0004382956,0.005522242],"category_scores_gemma":[0.001156124,0.000358946,0.0003355342,0.001195155,0.000440091,0.001040297,0.00121849,0.0006463314,0.002490664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999607,"about_ca_system_score_gemma":0.00061817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005463762,"about_ca_topic_score_gemma":0.001367306,"domain_scores_codex":[0.999332,0.00009622842,0.00002592735,0.0001029193,0.0003776449,0.00006523124],"domain_scores_gemma":[0.9994521,0.000147497,0.00005970744,0.0001946554,0.0001200386,0.00002595185],"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":[0.000212438,0.0001570587,0.000966994,0.0002550499,0.00008392207,0.000194173,0.0001157085,0.01653707,0.2341351,0.05248862,0.007775994,0.6870778],"study_design_scores_gemma":[0.0001082624,0.0006077282,0.002646832,0.0001291514,0.0001525055,0.003040331,0.0001109886,0.4404528,0.364176,0.02412683,0.164271,0.0001775482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005940067,0.000371002,0.9880597,0.00004221767,0.00007399892,0.00005699057,0.00007044971,0.0009814153,0.004404256],"genre_scores_gemma":[0.08850198,0.0005570311,0.9014006,0.0001336636,0.00007737568,0.0001713402,0.0003351131,0.0001357495,0.008687065],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005522242,"threshold_uncertainty_score":0.01847374,"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."}}