{"id":"W4411643370","doi":"10.1016/j.trgeo.2025.101625","title":"Quantifying the rate of track subsidence on permafrost by inferring absolute surface profile from track geometry","year":2025,"lang":"en","type":"article","venue":"Transportation Geotechnics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada; North Thompson Communities Foundation","keywords":"Track (disk drive); Permafrost; Geology; Subsidence; Surface (topology); Geometry; Geodesy; Track geometry; Geomorphology; 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":[0.0002108694,0.0002333269,0.0001648336,0.0008459642,0.0002293608,0.0006799573,0.0003436235,0.000213102,0.0006034102],"category_scores_gemma":[0.001118786,0.0001348572,0.0001510157,0.0009760965,0.0002112957,0.0003441128,0.0002890407,0.0002029769,0.0003918628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006556101,"about_ca_system_score_gemma":0.0008685813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1074099,"about_ca_topic_score_gemma":0.2565312,"domain_scores_codex":[0.9998335,0.00001149464,0.000005602641,0.00004883456,0.00006908597,0.00003138875],"domain_scores_gemma":[0.9996729,0.00005328843,0.00006199134,0.00005075641,0.0001369552,0.00002421729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000101359,0.0000772134,0.8254722,0.00008484643,0.00007201722,0.0001665046,0.0004356257,0.02722489,0.03301953,0.0004507268,0.001111156,0.1117838],"study_design_scores_gemma":[0.000004739692,0.00003073602,0.8749886,0.00001993876,0.00001749292,0.0001584289,0.0002798569,0.1157223,0.007271005,0.0002110322,0.001274038,0.00002195117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794616,0.0001099783,0.01575167,0.0000345377,0.000009183563,0.00001992221,0.001615343,0.0004834891,0.002514281],"genre_scores_gemma":[0.9912173,0.00006643505,0.007246873,0.000009171837,0.000002372006,0.000006396504,0.00111743,0.00002972163,0.0003042702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1074099,"threshold_uncertainty_score":0.2135694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04006842777360329,"score_gpt":0.2704496776347641,"score_spread":0.2303812498611608,"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."}}