{"id":"W2065643636","doi":"10.1109/radar.2013.6586093","title":"Modeling the received signal for the Canadian over-the-horizon-radar","year":2013,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Clutter; Doppler effect; Radar horizon; Radar; Continuous-wave radar; Over-the-horizon radar; Superposition principle; Pulse-Doppler radar; Computer science; Envelope (radar); Constant false alarm rate; Stationary target indication; SIGNAL (programming language); Doppler radar; Remote sensing; Moving target indication; Physics; Radar imaging; Acoustics; Geology; Telecommunications; Algorithm","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":[0.0002948773,0.0001188866,0.00009374127,0.00002419925,0.000728749,0.0002940701,0.0003156375,0.00005634938,0.0001888916],"category_scores_gemma":[0.00001477706,0.00005188389,0.00006423194,0.00009358807,0.00002642037,0.0001298565,0.00001012608,0.0001644144,0.00003765561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000807664,"about_ca_system_score_gemma":0.00007781942,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1645705,"about_ca_topic_score_gemma":0.1630364,"domain_scores_codex":[0.9992519,0.00001638323,0.0001778648,0.0001006702,0.0001389825,0.0003142133],"domain_scores_gemma":[0.9994729,0.0001601779,0.00001434425,0.0002130068,0.00006000112,0.0000795309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004068591,0.000004125429,0.00003308963,0.0000716502,0.0001671413,0.000001160472,0.001466892,0.8597529,0.002900601,0.003796733,0.05907913,0.07272254],"study_design_scores_gemma":[0.00007597017,0.00001049481,0.0000454264,0.00001404257,0.0000108614,0.000002801179,0.0005441481,0.9771516,0.0001455189,0.0008044671,0.02109566,0.00009897986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.191863,0.006458409,0.7283973,0.0114517,0.002212948,0.003499209,0.00002550974,0.0005385301,0.05555346],"genre_scores_gemma":[0.9982709,0.00001055912,0.0003756758,0.0002601692,0.0003514367,0.0000987114,0.000001319522,0.00003060684,0.0006006007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8064079,"threshold_uncertainty_score":0.852236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673809150388088,"score_gpt":0.2048694151540808,"score_spread":0.1881313236501999,"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."}}