{"id":"W1990325620","doi":"10.1109/oceans-taipei.2014.6964517","title":"Dual-curve-fitting-based wind parameter extraction from shipborne nautical X-band radar data","year":2014,"lang":"en","type":"article","venue":"","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Wind speed; Anemometer; Remote sensing; Radar; Wind direction; Curve fitting; Radar imaging; Computer science; Geology; Meteorology; Geography; Telecommunications","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":[0.0005629253,0.0009511948,0.0005111992,0.001654922,0.0003188356,0.0007299084,0.0007481728,0.000601252,0.001017289],"category_scores_gemma":[0.002378703,0.0004450241,0.0005512572,0.001498598,0.0002062881,0.00122599,0.0005482002,0.0006894912,0.001411641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102917,"about_ca_system_score_gemma":0.0004457095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864312,"about_ca_topic_score_gemma":0.002650138,"domain_scores_codex":[0.9996226,0.00004030928,0.00003239337,0.0001074167,0.0001575933,0.00003972508],"domain_scores_gemma":[0.9993592,0.0001278033,0.00009804896,0.0001092327,0.0002843246,0.00002136879],"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":[0.0001684652,0.000203278,0.008399952,0.0002107261,0.0001028765,0.0001523957,0.0002387696,0.07283133,0.1592118,0.00145429,0.001529447,0.7554967],"study_design_scores_gemma":[0.00002643057,0.0000802734,0.01182159,0.00002093703,0.00003494742,0.0002346871,0.0001018933,0.9049127,0.07561623,0.001243192,0.005830579,0.0000765133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05502582,0.0001310302,0.9417081,0.00003234735,0.00003047869,0.00007418711,0.0001586547,0.001949997,0.0008893302],"genre_scores_gemma":[0.1617834,0.0002145305,0.8351162,0.00002743854,0.00002340916,0.0001003446,0.001014379,0.0002966422,0.00142368],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001864312,"threshold_uncertainty_score":0.003706932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610627245771764,"score_gpt":0.2511627560873147,"score_spread":0.2150564836295971,"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."}}