{"id":"W4413443863","doi":"10.1029/2025av001849","title":"Decades‐Long Evolution of Post‐Fire Permafrost Deformation Detected by InSAR: Insights From Chronosequence in North Yukon","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Institute of Polar Research","keywords":"Chronosequence; Permafrost; Interferometric synthetic aperture radar; Geology; Earth science; Physical geography; Geomorphology; Geography; Remote sensing; Oceanography; Soil science; Synthetic aperture radar; Soil water","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":[0.00005575929,0.0001553343,0.0002066884,0.0001539456,0.0001201003,0.00002884731,0.0002121547,0.00008967695,0.0003208395],"category_scores_gemma":[0.00004798819,0.0001341268,0.00004043081,0.0006549259,0.00009862788,0.001040127,0.00001596218,0.000142872,0.00005051081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003968604,"about_ca_system_score_gemma":0.00007324266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02500146,"about_ca_topic_score_gemma":0.4592747,"domain_scores_codex":[0.9989053,0.00006585558,0.0003568927,0.0002523508,0.0001865464,0.000233081],"domain_scores_gemma":[0.9994128,0.0001533781,0.0001402683,0.0001670479,0.00007173901,0.00005477275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007226766,0.00001955994,0.9682838,0.00005140105,0.000006854349,0.00000459272,0.0006554478,0.0008614429,0.005077759,0.00001139766,0.00004226671,0.02491321],"study_design_scores_gemma":[0.0003586356,0.00007754693,0.9896182,0.0001106831,0.00001062281,0.000001447211,0.0006837512,0.004518021,0.003537016,0.000341651,0.0005860938,0.0001563075],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9710757,0.02474239,0.00009857628,0.00008962147,0.0002686437,0.0001855151,0.002915581,0.00002996789,0.0005939913],"genre_scores_gemma":[0.9920243,0.001608577,0.00005475512,0.000112893,0.00003718424,0.000003700824,0.006136145,0.000002821753,0.00001964838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4342732,"threshold_uncertainty_score":0.9814911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009354561316248126,"score_gpt":0.2245183765889537,"score_spread":0.2151638152727056,"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."}}