{"id":"W4310727067","doi":"10.1038/s41561-022-01073-3","title":"Acceleration of a large deep-seated tropical landslide due to urbanization feedbacks","year":2022,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"California Institute of Technology; Jet Propulsion Laboratory; Belgian Federal Science Policy Office; Fonds De La Recherche Scientifique - FNRS; National Aeronautics and Space Administration","keywords":"Landslide; Urbanization; Geology; Water table; Groundwater; Hydrology (agriculture); Physical geography; Earth science; Environmental science; Geography; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000252829,0.00009183977,0.0001190673,0.00005847984,0.0003657645,0.00002623441,0.0003717504,0.0001112637,0.002336836],"category_scores_gemma":[0.00009408827,0.00007302885,0.00003789624,0.001179628,0.00005072763,0.0001502763,0.0003829025,0.0003963022,0.00005771422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357055,"about_ca_system_score_gemma":0.00002211265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006362607,"about_ca_topic_score_gemma":0.00008049014,"domain_scores_codex":[0.9985486,0.00005811954,0.0001737522,0.0003258284,0.0006218272,0.000271919],"domain_scores_gemma":[0.9995952,0.00002201219,0.00007054034,0.0001923918,0.00002054668,0.00009935338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003802979,0.0009394835,0.822746,0.00002656463,0.00002789635,0.0001240008,0.005159012,0.0516738,0.07424227,0.006748272,0.02440153,0.01353091],"study_design_scores_gemma":[0.0008434524,0.0004027262,0.8771887,0.000009647034,0.00001997567,0.00006993958,0.0002471173,0.01938847,0.002881461,0.0003894881,0.09822318,0.0003357846],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869135,0.00006507631,0.00913635,0.0008062944,0.0004044431,0.0002301642,0.00002702099,0.00004063892,0.002376481],"genre_scores_gemma":[0.9967437,0.000004417188,0.001324025,0.0009461144,0.00003003594,0.00001567301,0.00002255325,0.000007503315,0.0009059315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07382166,"threshold_uncertainty_score":0.9985752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003503062770219591,"score_gpt":0.2239477663254991,"score_spread":0.2204447035552796,"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."}}