{"id":"W2418190966","doi":"10.1109/wamicon.2016.7483832","title":"RADARSAT constellation mission for monitoring ground deformation in Alberta's oil sands","year":2016,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"Canadian Space Agency","keywords":"Oil sands; Geology; Synthetic aperture radar; Interferometric synthetic aperture radar; Remote sensing; Steam-assisted gravity drainage; Constellation; Geodesy; Asphalt; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003172522,0.0002131185,0.0001259504,0.000554726,0.0002919142,0.0002243605,0.000275329,0.0001122899,0.0009137365],"category_scores_gemma":[0.0003283679,0.00006612336,0.00008148404,0.0007817057,0.0001199934,0.000156025,0.0001868563,0.0001388417,0.0002306668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608342,"about_ca_system_score_gemma":0.002377462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5406638,"about_ca_topic_score_gemma":0.7127531,"domain_scores_codex":[0.9998255,0.0000167467,0.00000289455,0.00001732434,0.0001124317,0.00002519925],"domain_scores_gemma":[0.9998264,0.00001202728,0.00001456731,0.00001390574,0.0001106948,0.0000224887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001011421,0.0003829361,0.357704,0.0001835053,0.0001102493,0.0003951087,0.0005688991,0.1550598,0.2068767,0.003126908,0.02097081,0.2536096],"study_design_scores_gemma":[0.0001107034,0.000165512,0.6365557,0.00002497752,0.0000502306,0.0001105654,0.0005279134,0.3108817,0.03353751,0.0005255222,0.01745656,0.00005304954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948501,0.0002204639,0.02035366,0.0001440053,0.00002469607,0.0001760746,0.01091946,0.001337119,0.01832361],"genre_scores_gemma":[0.9548091,0.0001044698,0.0344452,0.00002875015,0.000004686016,0.00003978543,0.007407959,0.00005130086,0.003108708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4593362,"threshold_uncertainty_score":0.9240827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097386983761951,"score_gpt":0.2341499560391235,"score_spread":0.223176086201504,"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."}}