{"id":"W4386631268","doi":"10.1109/oceanslimerick52467.2023.10244300","title":"The Second-order Monostatic HF Radar Cross Section for Target-Ocean Patch Scatter","year":2023,"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; Bistatic radar; Radar; Section (typography); Radar imaging; Remote sensing; Cross section (physics); Geology; Backscatter (email); Computer science; Acoustics; Physics; Telecommunications; Wireless","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003392646,0.0001051163,0.00009365646,0.00004073443,0.0006800779,0.0002174432,0.0001029406,0.00005251152,0.001217919],"category_scores_gemma":[0.00002759545,0.00006065738,0.00006682488,0.0002500113,0.00007158091,0.0001357061,0.000008453728,0.00009020521,0.0003424234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002880942,"about_ca_system_score_gemma":0.00002757273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004878349,"about_ca_topic_score_gemma":0.002519458,"domain_scores_codex":[0.999081,0.00003260571,0.0001754694,0.0002027597,0.0001362495,0.0003719058],"domain_scores_gemma":[0.9993917,0.0003006975,0.0000441269,0.0001421002,0.00005127372,0.00007011072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002908306,0.00003159204,0.3132057,0.0002835263,0.0002209318,0.00003869017,0.002566558,0.0205475,0.0002275448,0.0001498566,0.3781336,0.2843037],"study_design_scores_gemma":[0.0005154338,0.000146395,0.2464946,0.00001132313,0.00001068731,0.00001869982,0.00180514,0.4592964,0.000611613,0.005306164,0.285481,0.0003025146],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887767,0.00006786657,0.000589997,0.00155673,0.001756476,0.0002988838,0.00006766647,0.0001283628,0.006757288],"genre_scores_gemma":[0.9268062,0.00004417046,0.003521408,0.001072286,0.0006194764,3.604912e-8,0.0002855588,0.00001279839,0.06763808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4387489,"threshold_uncertainty_score":0.9996951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277254198967639,"score_gpt":0.2361933604371328,"score_spread":0.2234208184474564,"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."}}