{"id":"W2098707560","doi":"10.5589/m13-005","title":"Spatio-temporal analysis of ground deformation occurring near Rice Lake, Saskatchewan, and observed by Radarsat-2 DInSAR during 2008–2011","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Geodesy; Interferometric synthetic aperture radar; Geology; Deformation (meteorology); Interferometry; Synthetic aperture radar; Subsidence; Line-of-sight; Geography; Remote sensing; Seismology; Geomorphology; Optics; Physics; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001544905,0.0002936042,0.0001666286,0.001261636,0.0004137083,0.0003959391,0.0002776035,0.000170821,0.0007775001],"category_scores_gemma":[0.000231348,0.0001472851,0.0001675682,0.002352022,0.0002787524,0.0001633827,0.0004257298,0.0001686238,0.0001565416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003162679,"about_ca_system_score_gemma":0.002343635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.710633,"about_ca_topic_score_gemma":0.9218643,"domain_scores_codex":[0.9999158,0.000007358904,0.000005847904,0.00002157554,0.00002194831,0.00002747836],"domain_scores_gemma":[0.9997577,0.00001937662,0.00004513632,0.0000177389,0.0001171786,0.00004285215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001812112,0.00004913429,0.9569594,0.00006383318,0.0001431326,0.0005374322,0.0006642176,0.004892536,0.01674822,0.0001248711,0.0009885122,0.0186477],"study_design_scores_gemma":[0.000003104882,0.000006377479,0.997465,0.000005094325,0.00001115809,0.00002785539,0.000365602,0.001292735,0.0003798493,0.000009306882,0.0004271502,0.000006758295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977597,0.00004498249,0.0001216694,0.00002461584,0.000002022162,0.000009503294,0.001145912,0.00001176681,0.0008798679],"genre_scores_gemma":[0.9967554,0.00009818309,0.0002560637,0.00001861558,0.000001433542,0.00001231916,0.002057608,0.000002855644,0.0007974281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.289367,"threshold_uncertainty_score":0.5821422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009123709965212057,"score_gpt":0.1859485870109098,"score_spread":0.1768248770456977,"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."}}