{"id":"W1545982354","doi":"10.1109/oceans-genova.2015.7271603","title":"The first-order bistatic high frequency radar scattering cross section of the ocean surface for the case of a floating platform","year":2015,"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":"Bistatic radar; Radar cross-section; Cross section (physics); Physics; Transmitter; Radar; Acoustics; Radar imaging; Optics; Scattering; Computer science; Telecommunications; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006127582,0.0000896169,0.0001044954,0.00001044567,0.0006494888,0.0000696157,0.0001694454,0.00003553444,0.0000210315],"category_scores_gemma":[0.0001146877,0.00003615985,0.00006270908,0.0001915656,0.0002053999,0.0001155033,0.00001737297,0.0000873865,0.000001383566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005761089,"about_ca_system_score_gemma":0.00005303945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01896049,"about_ca_topic_score_gemma":0.01132616,"domain_scores_codex":[0.9992653,0.00002490408,0.0002590835,0.0001113796,0.0001439153,0.0001954287],"domain_scores_gemma":[0.9988945,0.0005617057,0.0001635606,0.0002237239,0.0001193563,0.00003722032],"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":[0.0004186711,0.00006769119,0.225337,0.0007346271,0.0004014682,0.00006587441,0.01810812,0.6595153,0.001161071,0.001338407,0.003361074,0.08949076],"study_design_scores_gemma":[0.001046345,0.0002563076,0.04462105,0.0001080283,0.00007667272,0.0005608019,0.01379089,0.9309113,0.003458539,0.003488854,0.001401741,0.000279473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968917,0.0002417833,0.0003396426,0.0006395798,0.0007745179,0.0002774618,0.00002976939,0.00001131035,0.0007942224],"genre_scores_gemma":[0.9968103,0.00001177541,0.002771719,0.00006231439,0.00008307585,4.656324e-9,0.000003590732,0.000004213036,0.0002530308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2713961,"threshold_uncertainty_score":0.9875723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283274146626559,"score_gpt":0.2359097154117836,"score_spread":0.213076973945518,"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."}}