{"id":"W2888997655","doi":"10.1175/jtech-d-17-0205.1","title":"Surfzone State Estimation, with Applications to Quadcopter-Based Remote Sensing Data","year":2018,"lang":"en","type":"article","venue":"Journal of Atmospheric and Oceanic Technology","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Canadian Immunization Research Network; National Science Foundation","keywords":"Bathymetry; Quadcopter; Particle image velocimetry; Remote sensing; Geology; Inversion (geology); Lidar; Range (aeronautics); Wave height; Data assimilation; Meteorology; Geodesy; Physics; Geomorphology; Aerospace engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003243131,0.0003454399,0.0002751776,0.0005583729,0.0002456911,0.0004637013,0.0003916018,0.0003170472,0.0006351764],"category_scores_gemma":[0.001199553,0.0001963391,0.0002449275,0.0004566479,0.0001311482,0.0003853778,0.000438319,0.0002676497,0.0001768491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002586059,"about_ca_system_score_gemma":0.0003347397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01693057,"about_ca_topic_score_gemma":0.0178542,"domain_scores_codex":[0.9998776,0.00001957369,0.0000101957,0.00004348879,0.00003692095,0.0000121424],"domain_scores_gemma":[0.9997117,0.00007456609,0.00004854168,0.00006518063,0.00008817216,0.00001181778],"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":[0.0001966234,0.0002003578,0.0365628,0.0001043132,0.00009207417,0.0001956876,0.0001948549,0.462994,0.04829127,0.001204806,0.001331893,0.4486313],"study_design_scores_gemma":[0.00001077943,0.00003326972,0.008672964,0.000003670149,0.000004956722,0.00001602109,0.0000222917,0.9872623,0.003135414,0.0003660251,0.0004630199,0.000009253112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369556,0.000371332,0.2570078,0.0002066902,0.00005312542,0.0001003359,0.001250836,0.001920713,0.002133449],"genre_scores_gemma":[0.9072607,0.00009083271,0.09132776,0.00002344106,0.000008729462,0.00003151915,0.0007582054,0.00003515243,0.0004637293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01693057,"threshold_uncertainty_score":0.03366405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009744453153379502,"score_gpt":0.2261366376436554,"score_spread":0.2163921844902759,"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."}}