{"id":"W3135692124","doi":"10.1088/1757-899x/1101/1/012023","title":"Generating Landslide Susceptibility Map using Airborne Lidar Derived Parameters and Geological Mapping Factors for Canada Hill, Miri, Sarawak","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landslide; Lidar; Terrain; Remote sensing; Digital mapping; Digital elevation model; Geographic information system; Cartography; Land cover; Field (mathematics); Geology; Land use; Geography; Geomorphology; Civil engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001411546,0.0003661507,0.0001652409,0.002098289,0.0004783344,0.0005620107,0.0003840432,0.0001680862,0.001102194],"category_scores_gemma":[0.0003865046,0.0001483505,0.0003801695,0.001532826,0.0001702627,0.0001902057,0.0002401459,0.0001941876,0.0002697002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141423,"about_ca_system_score_gemma":0.003159626,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6146558,"about_ca_topic_score_gemma":0.7138067,"domain_scores_codex":[0.999874,0.000006151235,0.000006870947,0.00002114286,0.0000615868,0.00003010985],"domain_scores_gemma":[0.9997607,0.00002516668,0.00002543681,0.00001595293,0.0001449205,0.00002789028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002862197,0.0003037492,0.7418805,0.0002634427,0.000125659,0.001614235,0.001015919,0.08068162,0.03544046,0.001064723,0.004379654,0.1329438],"study_design_scores_gemma":[0.00002168398,0.0000807391,0.7896394,0.00003711441,0.00006891212,0.0002564044,0.003187346,0.1922876,0.01115862,0.0002191947,0.003001017,0.00004205774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884455,0.0000560459,0.004906657,0.00006025074,0.000004746211,0.00009757954,0.002779596,0.0002362307,0.003413382],"genre_scores_gemma":[0.9841154,0.00006649857,0.01131573,0.000008755643,0.000001251753,0.00003210838,0.002947363,0.00001604529,0.00149681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6146558,"threshold_uncertainty_score":0.7752271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929140615759591,"score_gpt":0.2061270380904084,"score_spread":0.1868356319328125,"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."}}