{"id":"W4364856064","doi":"10.4095/329618","title":"Recent ponding of upland ice-wedge polygon networks detected across the Canadian Arctic Archipelago using satellite remote sensing","year":2023,"lang":"en","type":"report","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Archipelago; Arctic; Ponding; Polygon (computer graphics); Geology; Ice wedge; Remote sensing; Wedge (geometry); Satellite; The arctic; Oceanography; Physical geography; Geography; Permafrost; Engineering; Telecommunications; Geometry; Ecology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005625209,0.0002005355,0.0001775244,0.002391122,0.001443062,0.00091724,0.0006428132,0.0002973795,0.0009529876],"category_scores_gemma":[0.001661418,0.0001532096,0.0001844833,0.003973844,0.0004960246,0.0003962328,0.0006451965,0.0003220304,0.0001712266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006265447,"about_ca_system_score_gemma":0.008208843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9733426,"about_ca_topic_score_gemma":0.9919208,"domain_scores_codex":[0.999708,0.0000147158,0.00001361973,0.00005593383,0.000126761,0.00008088849],"domain_scores_gemma":[0.9976975,0.0001196126,0.0002582743,0.00007122297,0.001589462,0.0002638392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001453262,0.00004530537,0.9724485,0.00006496294,0.00007175029,0.0001339576,0.0009285717,0.001419419,0.001752101,0.0002608848,0.00666096,0.01606826],"study_design_scores_gemma":[0.00000237206,0.00000515277,0.9960975,0.000009097275,0.00001197324,0.00002552692,0.0005519564,0.0006802974,0.0002183292,0.0000150623,0.00237941,0.000003502723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738349,0.0002632048,0.0003649998,0.0002193242,0.00002186585,0.00003442842,0.02085873,0.00006201675,0.004340604],"genre_scores_gemma":[0.9780921,0.0002701904,0.0009860562,0.00006273396,0.00001117623,0.00003077597,0.01812952,0.00001156499,0.00240583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0266574,"threshold_uncertainty_score":0.05362874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15046428925557,"score_gpt":0.3237128881022361,"score_spread":0.1732485988466661,"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."}}