{"id":"W4408485053","doi":"10.5194/egusphere-egu25-19325","title":"Spatial analysis of summer subsidence in Tuktoyaktuk Peninsula (2019 – 2024): linking Sentinel-1 D-InSAR and in-situ observations","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Interferometric synthetic aperture radar; Peninsula; Geology; Subsidence; In situ; Remote sensing; Seismology; Geography; Geodesy; Geomorphology; Synthetic aperture radar; Meteorology; Archaeology","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":[0.0001435394,0.0002653593,0.0001737748,0.0009327742,0.0003325272,0.0003842368,0.0002513001,0.0002287314,0.000700471],"category_scores_gemma":[0.0001981808,0.0001155197,0.0002707493,0.001041355,0.0001739787,0.000169871,0.0002835123,0.0001318448,0.0001887575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005928792,"about_ca_system_score_gemma":0.0004918147,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1334843,"about_ca_topic_score_gemma":0.1771564,"domain_scores_codex":[0.9999294,0.000006419752,0.000006341705,0.00002147389,0.00001006144,0.00002628501],"domain_scores_gemma":[0.9998599,0.00001245249,0.0000365099,0.00001296629,0.00004357421,0.00003449243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000253957,0.00008722716,0.9710481,0.00005976259,0.00009912715,0.0005582091,0.0004139915,0.00425472,0.007743258,0.00007253612,0.001435392,0.01397377],"study_design_scores_gemma":[0.000003489619,0.00001719673,0.9952561,0.000005737777,0.00002105279,0.00007014885,0.0003668434,0.003260993,0.0004317247,0.000010217,0.0005511896,0.000005156713],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978364,0.0000507825,0.00008415543,0.000009848683,0.000004089763,0.000003268732,0.001697595,0.00001780134,0.0002960283],"genre_scores_gemma":[0.9955734,0.00004232622,0.0003117173,0.000006965359,0.00000334413,0.000008751669,0.003701915,0.000004590423,0.0003469948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665158,"threshold_uncertainty_score":0.2654145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07690553583723846,"score_gpt":0.3629818193314215,"score_spread":0.2860762834941831,"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."}}