{"id":"W2561023395","doi":"10.1190/tle36010036.1","title":"Short- and long-term ground deformation due to cyclic steam stimulation in Alberta, Canada, measured with interferometric radar","year":2016,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"ARC Resources (Canada); Natural Resources Canada","funders":"Natural Resources Canada; Canadian Space Agency","keywords":"Interferometric synthetic aperture radar; Interferometry; Geology; Deformation (meteorology); Synthetic aperture radar; Subsidence; Term (time); Geodesy; Radar; Remote sensing; GNSS augmentation; Steam injection; Baseline (sea); Extraction (chemistry); Seismology; Satellite; Geomorphology; Optics; Petroleum engineering; Telecommunications; Engineering; Structural basin","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":[0.000164361,0.0003029373,0.0001357102,0.0008133278,0.0007664019,0.0005081897,0.0004037842,0.0001999376,0.0006148955],"category_scores_gemma":[0.0002966071,0.0001307091,0.0001093747,0.001573148,0.0004910417,0.0001525605,0.0002640031,0.0001582734,0.000090897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008432483,"about_ca_system_score_gemma":0.007411607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976775,"about_ca_topic_score_gemma":0.991026,"domain_scores_codex":[0.9998477,0.000005150336,0.0000048637,0.00002270728,0.00007951055,0.00004007409],"domain_scores_gemma":[0.9997895,0.000013715,0.00003020679,0.000005983212,0.0001198572,0.0000407725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007543432,0.0001526824,0.8786631,0.0001026362,0.0001174529,0.0007727527,0.001103113,0.01651578,0.04598883,0.0003479867,0.00195796,0.05352338],"study_design_scores_gemma":[0.000008179371,0.0000197566,0.9944465,0.000004488512,0.00001003624,0.00002878161,0.0003851471,0.003268128,0.001037828,0.0000179639,0.0007638065,0.000009342915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978051,0.00008864712,0.0001594232,0.00002759325,0.000002559887,0.000007751804,0.0006770503,0.00001488032,0.001216942],"genre_scores_gemma":[0.9983369,0.00009008242,0.0001964347,0.00001121179,0.000001399216,0.000002642287,0.0005882291,0.000002424992,0.0007706133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02322501,"threshold_uncertainty_score":0.0611822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223327892435219,"score_gpt":0.2197275956768488,"score_spread":0.2074943167524966,"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."}}