{"id":"W2923244310","doi":"10.1080/01431161.2019.1597294","title":"Streambank topography: an accuracy assessment of UAV-based and traditional 3D reconstructions","year":2019,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Riparian zone; Photogrammetry; Orthophoto; Transect; Environmental science; Elevation (ballistics); Hydrology (agriculture); Remote sensing; Digital elevation model; Vegetation (pathology); Erosion; Geology; Geomorphology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001793727,0.0005433428,0.0004539095,0.002243118,0.0003452884,0.001584708,0.000805162,0.0005001125,0.001039466],"category_scores_gemma":[0.006049617,0.0003008572,0.0004711045,0.001580743,0.0003443489,0.001008571,0.000783094,0.0002358681,0.0004360488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007671915,"about_ca_system_score_gemma":0.0005210445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226546,"about_ca_topic_score_gemma":0.02430424,"domain_scores_codex":[0.9988019,0.0001361424,0.0001040719,0.0002294243,0.000646193,0.00008218803],"domain_scores_gemma":[0.9974914,0.0005655792,0.0002949463,0.000543386,0.001036255,0.00006842834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001046094,0.0002116449,0.2682705,0.0004601672,0.0005927899,0.0005843553,0.0007160996,0.3187221,0.02433972,0.001610855,0.004654905,0.3787907],"study_design_scores_gemma":[0.00005728826,0.0002175528,0.1976476,0.0001536582,0.0001409672,0.0005532311,0.0004644823,0.7777678,0.01588269,0.0005462334,0.006489614,0.00007874313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9354085,0.001373376,0.05089314,0.000157296,0.00009355207,0.0001493342,0.004192099,0.002095277,0.005637494],"genre_scores_gemma":[0.9518391,0.0004867648,0.04403621,0.00002433188,0.00001283651,0.00003035988,0.002850464,0.0001669087,0.0005529346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0226546,"threshold_uncertainty_score":0.04504544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01733955859405895,"score_gpt":0.2846283072048813,"score_spread":0.2672887486108224,"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."}}