{"id":"W4229031718","doi":"10.1007/s41748-022-00312-2","title":"Landslide Susceptibility Mapping Using Weighted-Overlay Approach in Rangamati, Bangladesh","year":2022,"lang":"en","type":"article","venue":"Earth Systems and Environment","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Landslide; Lineament; Geospatial analysis; Cartography; Vulnerability (computing); Geology; Physical geography; Remote sensing; Geography; Geomorphology; Seismology; Computer science; Computer security; Tectonics","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":[0.0007588221,0.0001737173,0.0002533037,0.00005054844,0.0003134284,0.00003862114,0.0001299568,0.00006766233,0.001706309],"category_scores_gemma":[0.000001780588,0.0001438165,0.00005353466,0.000128659,0.00007977829,0.0001070904,0.0003833214,0.000273527,0.0000740205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002445421,"about_ca_system_score_gemma":0.000005827039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009873222,"about_ca_topic_score_gemma":0.0000150935,"domain_scores_codex":[0.9982368,0.0001972498,0.0003416504,0.000453214,0.0004251037,0.0003460231],"domain_scores_gemma":[0.9994954,0.00002284031,0.00009986434,0.0002725096,7.60505e-7,0.000108655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003713946,0.0002316852,0.7841576,0.00006048613,0.00003085497,0.00004468346,0.00224853,0.2064589,0.003301501,0.00005705107,0.0004566233,0.002914968],"study_design_scores_gemma":[0.002622338,0.0001980804,0.5142078,0.00005219314,0.00003761386,0.0002535645,0.006088417,0.2095993,0.00004491531,0.0001084875,0.2659025,0.0008846625],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942415,0.0006719776,0.001042647,0.0000569234,0.0001744893,0.0004486744,0.00001979549,0.00002438525,0.0033196],"genre_scores_gemma":[0.9976199,0.00009790101,0.001251115,0.00004739646,0.00004061642,0.00004823544,0.00002229342,0.0000176099,0.0008549907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2699497,"threshold_uncertainty_score":0.9992062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329821372100125,"score_gpt":0.191742934933888,"score_spread":0.1784447212128867,"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."}}