{"id":"W2134972207","doi":"10.1109/ccece.2009.5090083","title":"The second-order monostatic HF radar cross section incorporating antenna barge motion","year":2009,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Radar cross-section; Radar; Physics; BARGE; Cross section (physics); Bistatic radar; Bessel function; Antenna (radio); Acoustics; Radar imaging; Optics; Computer science; Engineering; Telecommunications","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":[0.000439879,0.0005848988,0.0002528223,0.0003934417,0.0002542514,0.000590669,0.0003856512,0.0004470951,0.001464065],"category_scores_gemma":[0.0008451666,0.0002732997,0.0004634731,0.0003494493,0.0002993034,0.0007347958,0.0005093917,0.0004074315,0.0004479394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006876398,"about_ca_system_score_gemma":0.0008505012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002772145,"about_ca_topic_score_gemma":0.002387305,"domain_scores_codex":[0.9997545,0.00002468639,0.000008227672,0.00004078157,0.0001311018,0.00004066331],"domain_scores_gemma":[0.999552,0.0001626129,0.0000613201,0.00005580113,0.0001496433,0.00001853794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008399918,0.00006023866,0.007718623,0.0001481693,0.0001075893,0.0009618856,0.000206207,0.7194967,0.1259388,0.08739423,0.001574702,0.05630873],"study_design_scores_gemma":[0.000006134912,0.0000496047,0.005347027,0.00001613611,0.00002792887,0.001135022,0.00003394931,0.9510357,0.03234113,0.007160937,0.002807414,0.00003898043],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08978174,0.0004173039,0.8943415,0.0001392991,0.00007587586,0.00004994359,0.0001922129,0.0002288708,0.01477324],"genre_scores_gemma":[0.8762001,0.0009915659,0.1047693,0.0002200923,0.0000962032,0.00009814247,0.0005433343,0.0001418162,0.01693936],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002772145,"threshold_uncertainty_score":0.005512059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009270864069693706,"score_gpt":0.2165362419281147,"score_spread":0.2072653778584209,"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."}}