{"id":"W2768561574","doi":"10.3390/rs9111186","title":"Wave Height Estimation from First-Order Backscatter of a Dual-Frequency High Frequency Radar","year":2017,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; Ocean Public Welfare Scientific Research Project","keywords":"Radar; Backscatter (email); Remote sensing; Attenuation; Wave height; Scattering; Calibration; Acoustics; Optics; Geology; Physics; Telecommunications; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002209266,0.0002763516,0.0004016473,0.0001034303,0.0007267914,0.0002062712,0.0001802555,0.0001809732,0.0003925731],"category_scores_gemma":[0.0001985759,0.0002326316,0.000123829,0.0001167454,0.0002513737,0.0004383622,0.0000330869,0.0002394785,0.0001582712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001559117,"about_ca_system_score_gemma":0.0000681816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04490208,"about_ca_topic_score_gemma":0.003792804,"domain_scores_codex":[0.9981714,0.00007868788,0.0004655266,0.0004602739,0.0003873011,0.0004368019],"domain_scores_gemma":[0.998201,0.000167118,0.0004679018,0.0008728972,0.0001397344,0.0001514092],"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":[0.00005340304,0.00002008698,0.004196682,0.000119123,0.0001696185,0.000553559,0.001251717,0.002456367,0.006085223,0.00005178874,0.0003229903,0.9847195],"study_design_scores_gemma":[0.0006208108,0.00006960002,0.1072012,0.0005012366,0.00008806831,0.0001407173,0.00009003797,0.8700305,0.003057355,0.01747932,0.0002163668,0.0005047972],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802929,0.0003326549,0.00401078,0.0021916,0.001160336,0.0001910181,0.00006534046,0.00005608433,0.01169933],"genre_scores_gemma":[0.7478256,0.0000814345,0.2513687,0.000130212,0.0003368185,7.692703e-11,0.0001316949,0.00001321458,0.0001123203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9842147,"threshold_uncertainty_score":0.961458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617172710848355,"score_gpt":0.2152258666619108,"score_spread":0.1990541395534273,"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."}}