{"id":"W3080552434","doi":"","title":"Investigating the Changes in Surface Elevation of Permafrost Terrain in the Canadian Arctic Measured by GPS Interferometric Reflectometry","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Permafrost; Global Positioning System; Terrain; Reflectometry; Elevation (ballistics); Remote sensing; Geology; Geodesy; Arctic; Interferometry; Snow; Environmental science; Geomorphology; Geography; Oceanography; Cartography; Computer science; Telecommunications; Optics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002915907,0.0001585073,0.0001800031,0.0003592777,0.0002345037,0.0001133796,0.0004364162,0.0001095992,0.00007995698],"category_scores_gemma":[0.001394249,0.0001050907,0.00002742229,0.001658176,0.000186449,0.0001296861,0.00001301601,0.0003632948,0.00004301439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004715757,"about_ca_system_score_gemma":0.0001016951,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9092534,"about_ca_topic_score_gemma":0.9984461,"domain_scores_codex":[0.9982391,0.0002753618,0.0003761345,0.0002423137,0.0003863947,0.0004806947],"domain_scores_gemma":[0.9985339,0.0008302357,0.0002034246,0.0002325996,0.00009483318,0.0001049859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006122707,0.00001058394,0.98715,0.0000305712,0.000004479771,0.000004307862,0.007811927,0.0002291503,0.003300822,0.000001018426,0.0003340605,0.001116951],"study_design_scores_gemma":[0.0001594039,0.00009230868,0.9946954,0.000190682,0.000006489491,0.000008723555,0.002439413,0.0009457135,0.0007878938,0.00006098235,0.0004803264,0.00013266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913784,0.0004846656,1.251483e-7,0.00277372,0.0001710608,0.0002250027,0.0003450166,0.000009756764,0.004612202],"genre_scores_gemma":[0.9981524,0.00003940376,0.0000383611,0.001128818,0.0001177742,0.000002225803,0.0004953867,0.000006627524,0.00001899819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0891927,"threshold_uncertainty_score":0.4285475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05864384304220399,"score_gpt":0.2700966171021193,"score_spread":0.2114527740599153,"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."}}