{"id":"W2175165797","doi":"10.5194/tc-10-799-2016","title":"Growth of a young pingo in the Canadian Arctic observed by RADARSAT-2 interferometric satellite radar","year":2016,"lang":"en","type":"article","venue":"The cryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories; University of Victoria; Natural Resources Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Polar Knowledge Canada","keywords":"Permafrost; Geology; Elevation (ballistics); Aggradation; Synthetic aperture radar; Arctic; Satellite; Digital elevation model; Geomorphology; Interferometric synthetic aperture radar; Remote sensing; Physical geography; Structural basin; Oceanography; Fluvial; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005560943,0.0001601222,0.0001902665,0.00006986075,0.0001622775,0.0000744832,0.0006361062,0.00008383752,0.004254455],"category_scores_gemma":[0.0000504869,0.00007691129,0.0000736673,0.0008156477,0.0001417987,0.0001431699,0.00001435027,0.0001624476,0.0002182538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003485883,"about_ca_system_score_gemma":0.00009567098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8245569,"about_ca_topic_score_gemma":0.9911092,"domain_scores_codex":[0.9986126,0.0001703947,0.0002684701,0.0002174342,0.0002791368,0.0004519003],"domain_scores_gemma":[0.9989917,0.0004125223,0.00009064598,0.0003274248,0.00005050966,0.0001272119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002639755,0.00001186459,0.9784346,0.00002789926,0.00001462143,0.00001671198,0.00122333,6.154555e-7,0.0002192331,0.00003848821,0.002532961,0.01745326],"study_design_scores_gemma":[0.0003579827,0.000108491,0.9676622,0.00008386983,0.00001615418,0.00002706732,0.0006236531,0.00004024401,0.00008559244,0.0004563048,0.03036886,0.0001696338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981047,0.006254308,0.000009346468,0.003324454,0.0003053205,0.000342417,0.001150133,0.00001533035,0.007551656],"genre_scores_gemma":[0.9977345,0.0006483719,0.00002392621,0.0007490983,0.00007745823,0.000001539037,0.000165653,0.000006702172,0.0005927748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665522,"threshold_uncertainty_score":0.9966558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03483023241154053,"score_gpt":0.2117723764631937,"score_spread":0.1769421440516531,"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."}}