{"id":"W4402615377","doi":"10.5194/tc-18-4197-2024","title":"Employing automated electrical resistivity tomography for detecting short- and long-term changes in permafrost and active-layer dynamics in the maritime Antarctic","year":2024,"lang":"en","type":"article","venue":"The cryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Permafrost; Electrical resistivity tomography; Geology; Context (archaeology); Borehole; Impact crater; Active layer; Remote sensing; Electrical resistivity and conductivity; Oceanography; Layer (electronics); Paleontology; Astrobiology","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":[0.0003826135,0.0004663155,0.0002006021,0.001385145,0.0002970293,0.0006228084,0.0004274731,0.0003966659,0.0007815933],"category_scores_gemma":[0.0007589658,0.0001851248,0.0002758069,0.001234069,0.0002532544,0.0005304448,0.0004278015,0.0002342167,0.0003029815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789411,"about_ca_system_score_gemma":0.0004637378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009103949,"about_ca_topic_score_gemma":0.03194839,"domain_scores_codex":[0.9998193,0.00003722813,0.0000110329,0.00004279019,0.00006720179,0.00002239679],"domain_scores_gemma":[0.9995514,0.00007042063,0.00009389189,0.00007889919,0.0001676811,0.00003773383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003703691,0.0004153723,0.4592384,0.0003352319,0.0003840899,0.001137821,0.0006951544,0.08758711,0.1847066,0.0007353218,0.007527714,0.2568668],"study_design_scores_gemma":[0.00009248264,0.0001874361,0.5913891,0.00005620402,0.0001213006,0.0003700629,0.0006482528,0.3597554,0.03834831,0.0007555378,0.008179193,0.00009687939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698597,0.0001928902,0.02231566,0.0001810464,0.00004701411,0.00008915834,0.002877717,0.001302809,0.00313396],"genre_scores_gemma":[0.9564074,0.000148392,0.04009104,0.00006194688,0.00002913474,0.00006449145,0.002464615,0.00006947573,0.0006634668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009103949,"threshold_uncertainty_score":0.01810193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805512402628497,"score_gpt":0.2684202414414618,"score_spread":0.2403651174151769,"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."}}