{"id":"W3133825522","doi":"10.3390/rs13040815","title":"InSAR Monitoring of Landslide Activity in Dominica","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Landslide; Interferometric synthetic aperture radar; Digital elevation model; Geology; Terrain; Elevation (ballistics); Remote sensing; Synthetic aperture radar; Cartography; Physical geography; Geography; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001746929,0.0003903921,0.0001732115,0.001254292,0.0004660411,0.0007010718,0.0003239818,0.0001910948,0.0005316153],"category_scores_gemma":[0.000389763,0.00009986915,0.0001039612,0.001342594,0.0002043701,0.000204269,0.000306844,0.0001690836,0.0001303289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146617,"about_ca_system_score_gemma":0.0007208559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3352128,"about_ca_topic_score_gemma":0.506236,"domain_scores_codex":[0.9998885,0.00001019523,0.000006047179,0.00002643539,0.0000380396,0.00003072973],"domain_scores_gemma":[0.9997349,0.00002083474,0.00003629407,0.00002262921,0.0001418946,0.00004326889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005275921,0.000235217,0.7967181,0.0001751026,0.000237957,0.002021113,0.002429922,0.01413847,0.09272537,0.0003972217,0.004500693,0.08589317],"study_design_scores_gemma":[0.00003268877,0.00003979545,0.9722325,0.00002542504,0.00004844822,0.0001172817,0.001473764,0.01460211,0.003945177,0.00003965206,0.007424453,0.00001856582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929758,0.0002547196,0.0003115264,0.00004684146,0.000004280698,0.00002197703,0.001346359,0.00009035887,0.004948065],"genre_scores_gemma":[0.9961384,0.0002106505,0.0007767604,0.00001913025,0.000003986286,0.00001262422,0.001800411,0.000008085809,0.001029932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3352128,"threshold_uncertainty_score":0.6665232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367457521167621,"score_gpt":0.2472397910248247,"score_spread":0.2335652158131485,"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."}}