{"id":"W1913179647","doi":"10.1109/oceans.2000.881819","title":"Ocean clutter characteristics for a coherent Doppler UHF radar","year":2002,"lang":"en","type":"article","venue":"","topic":"Radar Systems and Signal Processing","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering; Memorial University of Newfoundland","funders":"","keywords":"Ultra high frequency; Clutter; Radar; Continuous-wave radar; Remote sensing; Radar horizon; Bistatic radar; Radar lock-on; Computer science; Radar engineering details; Doppler radar; Radar imaging; Radar tracker; Geology; Acoustics; Telecommunications; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002033795,0.0001556163,0.000182492,0.0008912287,0.000216536,0.000343587,0.0001348078,0.0002534517,0.0007369533],"category_scores_gemma":[0.001609873,0.00006606915,0.0001277932,0.0008519884,0.0001638334,0.0003087361,0.0001882187,0.0002346463,0.0003602722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028892,"about_ca_system_score_gemma":0.0001551336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991058,"about_ca_topic_score_gemma":0.001220604,"domain_scores_codex":[0.9998469,0.000009782042,0.000007117354,0.00002555818,0.00008187436,0.00002863475],"domain_scores_gemma":[0.9990807,0.0003522073,0.0001249842,0.0000766061,0.0002898115,0.00007577833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001353835,0.000240996,0.2571957,0.0002889483,0.00008769919,0.001712585,0.0008660165,0.04301826,0.4630573,0.001659926,0.002616226,0.2279024],"study_design_scores_gemma":[0.00004024813,0.0008919975,0.7380111,0.00004649541,0.00007979581,0.005340748,0.0004889554,0.1479654,0.0997314,0.001079929,0.00620027,0.0001235698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674974,0.0002146069,0.0294466,0.0000539151,0.00002135637,0.0000168743,0.0004592221,0.0001828264,0.002107202],"genre_scores_gemma":[0.9922122,0.0001499157,0.006331619,0.00003928968,0.00001174119,0.00001288265,0.0007183661,0.00002266543,0.0005013507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001991058,"threshold_uncertainty_score":0.003958881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01932675546548678,"score_gpt":0.1935609876268339,"score_spread":0.1742342321613471,"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."}}