{"id":"W2070520524","doi":"10.1007/s11629-012-2377-7","title":"Relationships between landslide types and topographic attributes in a loess catchment, China","year":2012,"lang":"en","type":"article","venue":"Journal of Mountain Science","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Landslide; Geology; Loess; Landslide classification; Terrain; Digital elevation model; Mass movement; Geomorphology; Natural hazard; Elevation (ballistics); Physical geography; Geographic information system; Cartography; Remote sensing; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.003263053,0.0000820944,0.0001489966,0.0001643234,0.000202753,0.00005231454,0.0002616023,0.00005972787,0.00006998589],"category_scores_gemma":[0.00016989,0.00005431608,0.00003292024,0.0007966475,0.0003634903,0.0009010884,0.0001222676,0.0003517271,0.00001524145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000142096,"about_ca_system_score_gemma":0.00002972546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009826029,"about_ca_topic_score_gemma":0.00002622995,"domain_scores_codex":[0.9987667,0.00006520125,0.0002880363,0.0001163364,0.0004455989,0.0003181396],"domain_scores_gemma":[0.999387,0.00009092556,0.0001801525,0.0001020297,0.00001582188,0.0002241154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006844515,0.00002660722,0.9969358,0.000002124545,0.000003763202,0.0000038828,0.0009018981,0.0001460264,0.0005580119,0.000146432,0.00009320758,0.001175424],"study_design_scores_gemma":[0.0002493282,0.00005112496,0.9963439,0.00002726312,0.00001469695,0.00006356344,0.00020778,0.00006331861,0.0003137321,0.0009033951,0.001680132,0.00008176365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973821,0.0004173963,0.000193055,0.0006195665,0.0001193087,0.00005448618,0.000001808521,0.000004195739,0.001208068],"genre_scores_gemma":[0.998844,0.0001336488,0.0008430611,0.00002804684,0.00007891192,7.174413e-7,4.045214e-7,0.000003825303,0.00006743691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003093163,"threshold_uncertainty_score":0.2214945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893658697401488,"score_gpt":0.2590545413218419,"score_spread":0.240117954347827,"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."}}