{"id":"W4283311392","doi":"10.3389/feart.2022.909078","title":"Applications of Image-Based Computer Vision for Remote Surveillance of Slope Instability","year":2022,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Space Agency; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Landslide; Digital elevation model; Lidar; Geology; Remote sensing; Rockfall; Satellite imagery; Terrain; Computer science; Cartography; Geomorphology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001218293,0.00006060354,0.0001434949,0.00008258141,0.0001858663,0.000008343467,0.0004502189,0.00002062122,0.0001120298],"category_scores_gemma":[0.00002446307,0.00005246302,0.00004514751,0.001026662,0.0008419057,0.0001216063,0.0002207777,0.00008926646,0.000001606245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007829926,"about_ca_system_score_gemma":0.00006500671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009691209,"about_ca_topic_score_gemma":0.0000249758,"domain_scores_codex":[0.9988366,0.00004099518,0.0002356429,0.0002993857,0.0003974502,0.0001899108],"domain_scores_gemma":[0.9994733,0.00003620446,0.0001223501,0.0002988705,0.00002451457,0.000044815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000273028,0.0004238565,0.4828274,0.00008029519,0.000006093605,0.000001660066,0.0005283912,0.1256021,0.03172728,0.00009300819,0.002982558,0.3554544],"study_design_scores_gemma":[0.0009306569,0.000397977,0.4043961,0.00001294599,0.000003958842,0.000001740238,0.0001135711,0.5603526,0.005405441,0.001229246,0.02696677,0.0001889847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4488116,0.00005193419,0.5484557,0.0001728357,0.0003933231,0.0006789041,0.00005955196,0.00001369468,0.001362471],"genre_scores_gemma":[0.8203459,0.000004854303,0.1795508,0.00003454827,0.000005152062,0.00001286441,0.000003807628,0.000003314098,0.00003873666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4347506,"threshold_uncertainty_score":0.3102036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003736100287732474,"score_gpt":0.2200324295969336,"score_spread":0.2162963293092011,"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."}}