{"id":"W4396552028","doi":"10.1051/e3sconf/202451903013","title":"Impact of Debris and Non-Debris Flow in Flood Damage at River Confluence, Case Study of Miu-Tuva River Confluence","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Confluence; Debris flow; Debris; Flood myth; Hydrology (agriculture); Geology; Floodplain; Environmental science; Geography; Archaeology; Geotechnical engineering; Cartography; Oceanography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003004816,0.0002335294,0.0005004384,0.000144597,0.00005781589,0.00002827799,0.0002663582,0.0001343051,0.001506372],"category_scores_gemma":[0.00002946143,0.0001610117,0.0001062331,0.0003893673,0.0009372365,0.0002590435,0.0002671128,0.0001913179,0.0000252234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000571262,"about_ca_system_score_gemma":0.0001862869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02809126,"about_ca_topic_score_gemma":0.00316571,"domain_scores_codex":[0.9982916,0.00008960335,0.0005323103,0.0004232484,0.0003949078,0.0002683595],"domain_scores_gemma":[0.9992217,0.000159958,0.0001689186,0.0002891718,0.00004085906,0.0001193998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008616229,0.0003030234,0.9755782,0.00007616416,0.0001738137,0.0007609025,0.01006661,0.001152546,0.007919382,0.00002986902,0.0002560344,0.003597312],"study_design_scores_gemma":[0.001866224,0.001428563,0.9673346,0.0003002566,0.0001609897,0.0001885646,0.002274808,0.02205821,0.003576252,0.0001845851,0.0002815374,0.0003454045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952585,0.000368515,0.00000865256,0.00002006744,0.00009645397,0.0003631028,0.00007709557,0.00001434765,0.003793318],"genre_scores_gemma":[0.9993783,0.0002376601,0.0001223539,0.000008608606,0.00001009253,0.000007293885,0.000003344374,0.0000115102,0.0002208628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02492555,"threshold_uncertainty_score":0.9994064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074725678698686,"score_gpt":0.2599359084657235,"score_spread":0.2491886516787366,"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."}}