{"id":"W1987033429","doi":"10.1007/s10346-012-0365-1","title":"Debris-flow simulations on Cheekye River, British Columbia","year":2012,"lang":"en","type":"article","venue":"Landslides","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Debris flow; Debris; Flow (mathematics); Hydrograph; Geology; Landslide; Hydrology (agriculture); Mudflow; Geotechnical engineering; Mechanics; Geography; Physics; Flood myth; Archaeology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001302415,0.00009112047,0.0001289029,0.00001126749,0.0002678579,0.0001313079,0.0001359002,0.00011116,0.009976909],"category_scores_gemma":[0.0000378984,0.0001025823,0.00006673165,0.0001538397,0.00009524574,0.0002278675,0.00008409462,0.0001447462,0.001174484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007009464,"about_ca_system_score_gemma":0.000004397778,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007220108,"about_ca_topic_score_gemma":0.008743455,"domain_scores_codex":[0.9989741,0.00003042986,0.0001493933,0.0001929835,0.0002393272,0.0004137884],"domain_scores_gemma":[0.9995103,0.00006150617,0.00004482501,0.0001993928,0.000005722303,0.0001782207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007544105,0.0001411963,0.930261,0.000003317959,0.00001898479,0.000009857514,0.0002870033,0.003005083,0.0001300838,0.000009039264,0.0459781,0.02014885],"study_design_scores_gemma":[0.000554104,0.00006002489,0.811156,0.00002941015,0.00002990686,0.00003156291,0.0000246393,0.002593799,0.00009235242,0.0005006078,0.184666,0.0002616671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708187,0.0001205144,0.00007858268,0.00007196776,0.0003161974,0.0001278673,0.00004091709,0.00008805863,0.02833722],"genre_scores_gemma":[0.990123,0.00005875278,0.0008629435,0.0003690283,0.0001723067,0.000006641034,0.00003282568,0.00001891281,0.008355639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1386879,"threshold_uncertainty_score":0.9996032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008054373379647352,"score_gpt":0.2100944305886049,"score_spread":0.2020400572089576,"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."}}