{"id":"W3138728010","doi":"10.5194/nhess-21-1029-2021","title":"DebrisFlow Predictor: an agent-based runout program for shallow landslides","year":2021,"lang":"en","type":"article","venue":"Natural hazards and earth system sciences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Landslide; Debris; Geology; Debris flow; Run-out; Digital elevation model; Hazard; Elevation (ballistics); Mass wasting; Geotechnical engineering; Geomorphology; Remote sensing; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006295827,0.0002039109,0.0002576948,0.00004168579,0.0006996307,0.0003440602,0.0002670039,0.0001398448,0.0001490173],"category_scores_gemma":[0.000035863,0.0001308314,0.0001174027,0.0003647072,0.0003296363,0.0003769312,0.00008989267,0.000140954,0.00002711028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004050254,"about_ca_system_score_gemma":0.0001008141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469442,"about_ca_topic_score_gemma":0.0004979022,"domain_scores_codex":[0.9979544,0.00007900646,0.0002695,0.0006305924,0.0005638979,0.0005025847],"domain_scores_gemma":[0.9993638,0.00006461648,0.00009146221,0.0002074604,0.00004167704,0.0002309617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001684216,0.0003555843,0.1477142,0.0004371004,0.00008769416,0.0001325515,0.0007333499,0.003556977,0.004480996,0.001475433,0.002681807,0.8381759],"study_design_scores_gemma":[0.002122601,0.001418006,0.06619518,0.0003434028,0.0001064678,0.0002068776,0.0018451,0.8565124,0.00276638,0.0001597669,0.06747992,0.0008439237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922366,0.001367699,0.0001623524,0.0003561545,0.0008417738,0.0005354038,0.00004145359,0.0002018656,0.004256701],"genre_scores_gemma":[0.9907404,0.00003190068,0.008206245,0.0001651184,0.0001322813,0.00005182262,0.00003334585,0.00001165807,0.0006271832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8529554,"threshold_uncertainty_score":0.5381064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089263250882347,"score_gpt":0.2547555560308724,"score_spread":0.2438629235220489,"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."}}