{"id":"W2948456628","doi":"10.11159/iccste19.140","title":"GIS-based Modeling of Debris Flow Runout Susceptibility in Kulekhani Watershed, Nepal","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"International Development Research Centre","keywords":"Debris flow; Watershed; Debris; Geology; Environmental science; Geographic information system; Remote sensing; Hydrology (agriculture); Computer science; Geotechnical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001634708,0.000383408,0.0002811261,0.0008534266,0.0005134377,0.00111158,0.0008551734,0.0007200509,0.001302277],"category_scores_gemma":[0.0006146787,0.0003197476,0.000574789,0.000808689,0.0003889869,0.0005094424,0.0004840151,0.0003226915,0.0001422506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001393778,"about_ca_system_score_gemma":0.001067556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1192021,"about_ca_topic_score_gemma":0.08312858,"domain_scores_codex":[0.9999163,0.00001958588,0.000005604911,0.00002235091,0.00001124152,0.00002489242],"domain_scores_gemma":[0.999806,0.00009783438,0.00002329166,0.00001327048,0.00004151886,0.00001824317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004371818,0.000158057,0.03895137,0.00004055586,0.00004402352,0.0006380457,0.0002378439,0.9524501,0.001810045,0.0008092678,0.0004016528,0.004415331],"study_design_scores_gemma":[0.000007542519,0.00001532368,0.008483814,0.000004982943,0.00001172584,0.00003027139,0.0001661909,0.9905446,0.0003472235,0.0001600551,0.0002193795,0.000008787591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994958,0.00002797143,0.001838548,0.00006392293,0.000002598186,0.0000253792,0.0005138014,0.0001176688,0.002452069],"genre_scores_gemma":[0.9976457,0.00004090988,0.001393679,0.000006226751,0.000001437883,0.00002613863,0.0002957663,0.000008776471,0.0005812856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1192021,"threshold_uncertainty_score":0.2370165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859773226787694,"score_gpt":0.2000411714172047,"score_spread":0.191181398190417,"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."}}