{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547209,0.00006630838,0.0001431941,0.00001965576,0.00003343905,0.000009194263,0.0000421901,0.00007520513,0.00004273308],"category_scores_gemma":[0.00005224394,0.00005719933,0.00004503222,0.0002251276,0.00003604412,0.00006178246,0.0001036189,0.0001517834,0.00002580403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008767315,"about_ca_system_score_gemma":0.0000153897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005980485,"about_ca_topic_score_gemma":0.0001088048,"domain_scores_codex":[0.9993382,0.00005043455,0.0001366824,0.0001680807,0.0001467457,0.0001598808],"domain_scores_gemma":[0.9996828,0.00004967638,0.00005035322,0.0001713787,0.000006261377,0.00003948584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003803185,0.0000300164,0.0353002,0.00001497242,0.00001343938,0.0002681357,0.0005715352,0.002729542,0.4335119,0.000001659633,0.00002958811,0.527491],"study_design_scores_gemma":[0.001448298,0.00004096079,0.2323284,0.0004230548,0.0000302149,0.0001434277,0.0003578466,0.0503741,0.7088079,0.0004714543,0.0052062,0.0003681658],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891757,0.00004589845,0.0004391021,0.0001210261,0.0001584689,0.00003112228,4.41067e-7,0.00001179892,0.0100164],"genre_scores_gemma":[0.9887019,0.0001052855,0.01090608,0.00001335923,0.00002976907,2.119438e-9,4.666192e-7,0.000007770828,0.0002354045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5271228,"threshold_uncertainty_score":0.2332521,"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."}}