{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238808,0.0003954102,0.0003515058,0.0009750113,0.0001535989,0.0003728575,0.0002967434,0.0003778496,0.0004204792],"category_scores_gemma":[0.0006651693,0.0002483721,0.000297994,0.0005536946,0.0001791466,0.0005306744,0.0004984302,0.0004174789,0.0003592397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340675,"about_ca_system_score_gemma":0.0002799957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001658691,"about_ca_topic_score_gemma":0.002454483,"domain_scores_codex":[0.9997533,0.0000262028,0.00001034391,0.00005339782,0.0001203691,0.00003633013],"domain_scores_gemma":[0.9996918,0.00006968252,0.00004650204,0.00003988919,0.000128555,0.00002354075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002529682,0.0001617254,0.03322976,0.0001530321,0.00005649067,0.0001503424,0.0001651317,0.01596013,0.8007977,0.0004289045,0.0004853931,0.1481584],"study_design_scores_gemma":[0.00008040543,0.0003682133,0.1337378,0.00002017382,0.0001401836,0.0005570829,0.0002343307,0.5931678,0.2700011,0.0005795456,0.001023476,0.00008984797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513363,0.0001741137,0.1468267,0.00004225499,0.00003470551,0.00002119216,0.0001457229,0.0002878071,0.001131203],"genre_scores_gemma":[0.9247251,0.0001782848,0.07414339,0.00002958587,0.0000161414,0.00002057061,0.0002655248,0.00002093785,0.0006005954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001658691,"threshold_uncertainty_score":0.003298044,"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."}}