{"id":"W4246586224","doi":"10.22215/etd/2019-13851","title":"Determining the uncertainty of areal mean surface elevation measured with a terrestrial laser scanner and with a total station in permafrost environments near Lac de Gras, NWT, Canada","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Elevation (ballistics); Permafrost; Tundra; Remote sensing; Laser scanning; Vegetation (pathology); Environmental science; Range (aeronautics); Physical geography; Geology; Arctic; Geography; Laser; Optics; Oceanography; Mathematics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005686051,0.0001956018,0.0002350314,0.0008733963,0.001759465,0.001085472,0.0007634523,0.0002467958,0.0007924938],"category_scores_gemma":[0.002118355,0.0001813335,0.0002817645,0.001330805,0.000473865,0.000293377,0.0004358347,0.000380763,0.0002206078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01228838,"about_ca_system_score_gemma":0.01055143,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807159,"about_ca_topic_score_gemma":0.9914123,"domain_scores_codex":[0.9993519,0.00003581792,0.00001842448,0.0001193208,0.0003662298,0.0001082397],"domain_scores_gemma":[0.999079,0.0001323014,0.00003438145,0.0000262591,0.0006733214,0.00005472094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002343753,0.00005339162,0.8943318,0.00004957116,0.000130005,0.0002085472,0.001133161,0.03371809,0.007915503,0.0006028549,0.002764994,0.05885774],"study_design_scores_gemma":[0.000009116492,0.00001132926,0.9757693,0.00002786862,0.00002550666,0.00005053382,0.001336971,0.01768328,0.002846608,0.0001456373,0.002067224,0.00002654978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988209,0.0002196424,0.00113606,0.000133093,0.000009400342,0.00001475714,0.002199756,0.00002442965,0.008053767],"genre_scores_gemma":[0.9936131,0.0001730431,0.00188206,0.00001737569,0.000003927856,0.00001104647,0.001718889,0.00001521069,0.002565516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01928413,"threshold_uncertainty_score":0.08915883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410068737401187,"score_gpt":0.2052609072477787,"score_spread":0.1911602198737669,"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."}}