{"id":"W3007333433","doi":"10.3390/rs12040667","title":"Bistatic High-Frequency Radar Cross-Section of the Ocean Surface with Arbitrary Wave Heights","year":2020,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bistatic radar; Radar cross-section; Radar; Remote sensing; Scattering; Geology; Wind wave; Wave radar; Surface wave; Physics; Radar imaging; Optics; Computer science; Telecommunications; Oceanography","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":[0.000321084,0.0003973468,0.0001518587,0.0003332883,0.0001363388,0.0004088468,0.0002948823,0.0002561878,0.0009026522],"category_scores_gemma":[0.0005927857,0.0001365136,0.0003686209,0.0004923018,0.0003019077,0.0006153634,0.0004220733,0.0002914595,0.0001559312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002719471,"about_ca_system_score_gemma":0.0002782898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001228099,"about_ca_topic_score_gemma":0.001148363,"domain_scores_codex":[0.9998727,0.00002543929,0.00000595042,0.00002671074,0.00005027468,0.00001892308],"domain_scores_gemma":[0.9996831,0.0001412884,0.00004968059,0.00004477464,0.00007069687,0.00001039301],"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":[0.00008979746,0.00006591524,0.01009383,0.0001585673,0.0001143853,0.0004851175,0.0001187714,0.743332,0.1959883,0.02412996,0.0005354739,0.02488781],"study_design_scores_gemma":[0.000008072357,0.00004212376,0.01027515,0.00001034351,0.00002352076,0.0003755133,0.00004444668,0.949962,0.03478155,0.003830895,0.0006151677,0.00003122625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6156988,0.0005567835,0.3709949,0.0001596737,0.00005585486,0.00003403614,0.0003417397,0.0002471748,0.01191111],"genre_scores_gemma":[0.9803254,0.000295475,0.01726231,0.00005880939,0.00001082065,0.0000179215,0.0003111868,0.00003982887,0.001678116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001228099,"threshold_uncertainty_score":0.003019691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01571790771741851,"score_gpt":0.1957480480295693,"score_spread":0.1800301403121508,"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."}}