{"id":"W2040307875","doi":"10.1109/tap.2012.2207328","title":"The Second-Order High Frequency Radar Ocean Surface Cross Section for an Antenna on a Floating Platform","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Radar cross-section; Physics; Radar; Acoustics; Antenna (radio); Cross section (physics); Bistatic radar; Surface wave; Optics; Scattering; Geology; Radar imaging; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004991856,0.000176113,0.0001282253,0.0000484661,0.001491185,0.0002022718,0.0000681245,0.0001057952,0.0000825535],"category_scores_gemma":[0.0000087569,0.0001159805,0.00005997695,0.0001752907,0.00009906286,0.0006676009,3.341459e-7,0.0002285986,0.00001197747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247048,"about_ca_system_score_gemma":0.00002639238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004270415,"about_ca_topic_score_gemma":0.001163893,"domain_scores_codex":[0.9988959,0.00005920521,0.0002447582,0.0002418474,0.0001790739,0.0003791652],"domain_scores_gemma":[0.9993291,0.0001801812,0.0001030803,0.0001547901,0.00009832383,0.0001345103],"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":[0.003513284,0.0006775518,0.01318512,0.0004932251,0.000358582,0.000008560858,0.007676368,0.03657523,0.04329941,0.001010018,0.000310949,0.8928917],"study_design_scores_gemma":[0.003199291,0.003923784,0.08560964,0.000263573,0.000132251,0.0002242209,0.00357634,0.8627155,0.03306859,0.002213106,0.003679496,0.001394227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9619312,0.0001384015,0.03497112,0.0001885588,0.001788878,0.0004544223,0.0001074584,0.00006737869,0.0003525277],"genre_scores_gemma":[0.9969677,0.0001036764,0.001722437,0.0001694218,0.0002981306,6.940562e-8,0.00004612662,0.00001196151,0.0006804667],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8914975,"threshold_uncertainty_score":0.9998087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227936246032792,"score_gpt":0.2429162638817958,"score_spread":0.2206369014214679,"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."}}