{"id":"W3165754343","doi":"10.4095/328268","title":"Emergency Geomatics Service activation for Turtle Mountain, Alberta InSAR monitoring","year":2021,"lang":"en","type":"report","venue":"","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Interferometric synthetic aperture radar; Landslide; Deformation monitoring; Synthetic aperture radar; Geohazard; Satellite; Geography; Remote sensing; Service (business); Geology; Cartography; Meteorology; Seismology; Deformation (meteorology); Engineering; Business","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":[0.0005646497,0.000414582,0.0001108735,0.001424883,0.001079669,0.000787741,0.000548114,0.0002693844,0.007604789],"category_scores_gemma":[0.0007644766,0.0002047826,0.0001145571,0.001275526,0.0002246656,0.0001811049,0.0005288833,0.0003930325,0.001733392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006724486,"about_ca_system_score_gemma":0.01913494,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8696622,"about_ca_topic_score_gemma":0.9495909,"domain_scores_codex":[0.9992296,0.00003473753,0.00001241951,0.0000368356,0.0005681778,0.0001183018],"domain_scores_gemma":[0.9986236,0.000066252,0.00007881084,0.00005152311,0.0009974878,0.0001823355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006700871,0.0003645856,0.2108089,0.0004307102,0.00006419868,0.002689694,0.001805419,0.01525247,0.02433313,0.003408856,0.488677,0.2514949],"study_design_scores_gemma":[0.00006146213,0.0002124888,0.5677146,0.0001151769,0.00002279562,0.000322875,0.002682686,0.009572776,0.0079765,0.0003070564,0.4109529,0.00005845131],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4734305,0.001977208,0.01073331,0.005583206,0.0003995725,0.001951618,0.1074573,0.003322387,0.395145],"genre_scores_gemma":[0.4971397,0.003576636,0.02204306,0.001056067,0.000134706,0.0004865522,0.1127714,0.0003244275,0.3624675],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1303378,"threshold_uncertainty_score":0.2622108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837014549832333,"score_gpt":0.284588631632559,"score_spread":0.2562184861342356,"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."}}