{"id":"W3196556441","doi":"10.1016/j.scitotenv.2021.150039","title":"Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Yale University; National Aeronautics and Space Administration","keywords":"Hazard; Geography; Population; Natural hazard; Urbanization; Human settlement; Physical geography; Environmental science; Ecology; Demography; Archaeology; Meteorology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002815231,0.0003441605,0.0001755278,0.0006966949,0.0002775659,0.0006397765,0.000405029,0.000262929,0.0008707245],"category_scores_gemma":[0.0005900304,0.0001235413,0.0003082273,0.0005638739,0.0002022796,0.0002955195,0.000562151,0.0002392179,0.0001089721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00059493,"about_ca_system_score_gemma":0.0005720305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05470249,"about_ca_topic_score_gemma":0.04659975,"domain_scores_codex":[0.9998837,0.00003951435,0.000004280745,0.00002064506,0.00002354185,0.00002824214],"domain_scores_gemma":[0.9997584,0.00009348644,0.00004325612,0.0000242556,0.00004292888,0.00003764148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002353319,0.0001733391,0.5490227,0.00007859834,0.0002428265,0.0006477861,0.0006648514,0.4068715,0.005062587,0.001418601,0.001111546,0.03447041],"study_design_scores_gemma":[0.000007080204,0.00008611448,0.2528039,0.0000153689,0.00004056247,0.0001554057,0.0006701114,0.743809,0.0008554483,0.0008575132,0.0006740487,0.00002541319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943685,0.00007455618,0.00420156,0.00007865725,0.00000522819,0.00001086873,0.0003226175,0.00003720292,0.0009009244],"genre_scores_gemma":[0.9985771,0.00003348113,0.0009546393,0.000006410941,0.000003117122,0.000004130276,0.0001741946,0.000001965639,0.0002449442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05470249,"threshold_uncertainty_score":0.1087682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009288588916500832,"score_gpt":0.2270286644657324,"score_spread":0.2177400755492316,"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."}}