{"id":"W4402013546","doi":"10.1007/s10346-024-02346-1","title":"Understanding the failure mechanisms of the 2017 Santa Lucía landslide, Patagonian Andes, using remote sensing and 3D numerical modelling techniques","year":2024,"lang":"en","type":"article","venue":"Landslides","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University","keywords":"Landslide; Geology; Remote sensing; Natural hazard; Geomorphology; Geography; Oceanography","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":[0.000512498,0.0002048935,0.0002188165,0.00004283729,0.0004524608,0.0001649651,0.0002312254,0.0001521603,0.000070951],"category_scores_gemma":[0.00001583382,0.0001005591,0.00009917717,0.0003201145,0.0001894455,0.0001645437,0.0002930425,0.000351601,0.0000052098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001286725,"about_ca_system_score_gemma":0.00002223443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007152331,"about_ca_topic_score_gemma":0.0001522779,"domain_scores_codex":[0.9986426,0.00009121952,0.0002621886,0.0003410739,0.0003379259,0.0003249422],"domain_scores_gemma":[0.9993721,0.0001261136,0.00009153339,0.0003358732,0.000007768586,0.00006657798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000725521,0.0002405653,0.03811685,0.001899032,0.001923836,0.001202029,0.03906404,0.2858269,0.2104892,0.0144115,0.02143263,0.3846679],"study_design_scores_gemma":[0.000193728,0.00005082984,0.0001257464,0.000631728,0.0001601297,0.0003778507,0.0008381588,0.9585968,0.007288696,0.02623743,0.005180768,0.0003181963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04279231,0.000526699,0.953125,0.0006287856,0.0002426336,0.0002883649,0.0000201264,0.0001270451,0.002249044],"genre_scores_gemma":[0.9751354,0.0002461163,0.02430717,0.0001016816,0.00007027725,4.884581e-7,0.000003536823,0.00003015888,0.0001051983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9323431,"threshold_uncertainty_score":0.4100683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038375609665887,"score_gpt":0.2447490574093184,"score_spread":0.2063734477434314,"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."}}