{"id":"W2338359272","doi":"10.1049/iet-rsn.2015.0441","title":"First‐order bistatic high‐frequency radar ocean surface cross‐section for an antenna on a floating platform","year":2016,"lang":"en","type":"article","venue":"IET Radar Sonar & Navigation","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bistatic radar; Antenna (radio); Radar cross-section; Radar; Physics; Transmitter; Acoustics; Computer science; Radar imaging; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002419727,0.0005226244,0.0001863023,0.0003541937,0.0001831745,0.0003949761,0.000353871,0.0004350091,0.00153052],"category_scores_gemma":[0.0004417862,0.0002027889,0.0005288979,0.0002664613,0.0003707358,0.0004310008,0.0004265001,0.0003609821,0.0003701638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742169,"about_ca_system_score_gemma":0.0004325094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002398211,"about_ca_topic_score_gemma":0.001691561,"domain_scores_codex":[0.9999037,0.00001215423,0.000003349274,0.00002167729,0.00004210046,0.00001710023],"domain_scores_gemma":[0.9997764,0.00008145148,0.0000500214,0.00002420079,0.00005439594,0.00001357771],"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":[0.00007241451,0.00004690241,0.005283854,0.0001385369,0.00007641636,0.001159102,0.0001361821,0.7180544,0.2286211,0.0327667,0.0006479243,0.01299638],"study_design_scores_gemma":[0.000009249994,0.00006378997,0.008203384,0.00001414338,0.00003405091,0.0008011122,0.00005251204,0.9626462,0.02408001,0.003370996,0.0006923523,0.00003223123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5203143,0.0007995533,0.4535498,0.0002753137,0.00007095464,0.00004453583,0.0002674887,0.0002464147,0.02443151],"genre_scores_gemma":[0.977242,0.0006064254,0.01567689,0.00007189366,0.00002242216,0.00003284939,0.0002148744,0.00005726004,0.006075531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002398211,"threshold_uncertainty_score":0.005120099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974317333240221,"score_gpt":0.2463176091558406,"score_spread":0.2265744358234384,"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."}}