{"id":"W2474917794","doi":"10.1080/07038992.2016.1177449","title":"The Second-Order Bistatic High-Frequency Radar Cross Section of Ocean Surface for an Antenna on a Floating Platform","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Bistatic radar; Antenna (radio); Radar cross-section; Physics; Transmitter; Radar; Cross section (physics); Acoustics; Radar imaging; Remote sensing; Geology; Computer science; Telecommunications; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008371033,0.000159541,0.0002491902,0.0001290041,0.0006531951,0.0001417663,0.0001548481,0.00008713733,0.00003134365],"category_scores_gemma":[0.0002992816,0.00009173148,0.0001103178,0.0002041777,0.0002078027,0.0003217027,0.000002237522,0.0001929978,0.000002458362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005031193,"about_ca_system_score_gemma":0.0006105809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01398116,"about_ca_topic_score_gemma":0.1186349,"domain_scores_codex":[0.9985572,0.00007296221,0.000519478,0.00016425,0.0002096598,0.0004764491],"domain_scores_gemma":[0.9980939,0.0004189062,0.0004778415,0.0001908381,0.0003992955,0.0004192237],"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":[0.0002209508,0.000003953819,0.002118855,0.00007458771,0.0001071924,0.0001577293,0.001391766,0.00176967,0.006168734,0.00004636142,0.0003414298,0.9875988],"study_design_scores_gemma":[0.01165247,0.009461521,0.114724,0.007148481,0.0003774317,0.009028189,0.01476193,0.7103003,0.02864071,0.04214907,0.04844966,0.003306264],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940795,0.0002158953,0.002995103,0.0004791867,0.001599215,0.0001320946,0.00006653841,0.000006615991,0.0004258065],"genre_scores_gemma":[0.9539307,0.00002567272,0.04523621,0.000117119,0.000402488,2.577652e-11,0.000005334406,0.00001336632,0.00026906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9842925,"threshold_uncertainty_score":0.9925848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841184629819922,"score_gpt":0.2270630790582147,"score_spread":0.2086512327600155,"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."}}