{"id":"W3172543783","doi":"10.2113/eeg-d-20-00109","title":"An Integrated InSAR-Borehole Inclinometer-Numerical Modeling Approach to the Assessment of a Slow-Moving Landslide","year":2021,"lang":"en","type":"article","venue":"Environmental and Engineering Geoscience","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada); Simon Fraser University","funders":"","keywords":"Landslide; Inclinometer; Borehole; Geology; Interferometric synthetic aperture radar; Geotechnical engineering; Deformation monitoring; Slope failure; Digital elevation model; Remote sensing; Deformation (meteorology); Geomorphology; Geodesy; Synthetic aperture radar","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":[0.0002724612,0.0003480127,0.0002533882,0.0005623341,0.0004465177,0.0009429842,0.0005703809,0.0003528727,0.0006572304],"category_scores_gemma":[0.0005113885,0.0002550748,0.0002591958,0.0003402288,0.000286648,0.0003667899,0.0003636157,0.0002860307,0.0001022068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001598593,"about_ca_system_score_gemma":0.002238507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1756008,"about_ca_topic_score_gemma":0.2164339,"domain_scores_codex":[0.9999142,0.00002724459,0.000004853959,0.00001248204,0.00002930214,0.0000118935],"domain_scores_gemma":[0.9998794,0.00002935222,0.00001491528,0.00001244837,0.00005080942,0.00001311811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001198031,0.00002836707,0.007352202,0.000007439831,0.00001661472,0.00003732243,0.00002371381,0.9832777,0.001791927,0.001161031,0.0001034824,0.006188279],"study_design_scores_gemma":[0.000001853389,0.000006144248,0.001115165,0.00000158935,0.000003753468,0.000003173832,0.0000160516,0.9983431,0.000196174,0.0001802114,0.0001301345,0.00000256579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8254586,0.0001807852,0.1622005,0.0003640227,0.00002118195,0.00006696826,0.0003030293,0.0004515521,0.01095338],"genre_scores_gemma":[0.9788735,0.0000634906,0.02004083,0.00001217084,0.000004399663,0.00002654328,0.00007716757,0.0000157835,0.0008861378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1756008,"threshold_uncertainty_score":0.3491574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006969641588742055,"score_gpt":0.2030238239982584,"score_spread":0.1960541824095164,"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."}}