{"id":"W1482158891","doi":"","title":"Erosion and devastation of river Subansiri and future downstream impacts of large dam : a case study from India","year":2013,"lang":"en","type":"article","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Medicine Hat College","funders":"","keywords":"Riparian zone; Downstream (manufacturing); Hydrology (agriculture); Natural (archaeology); Flood myth; Erosion; Water resource management; River morphology; Geography; Geology; Environmental science; Archaeology; Engineering; Geomorphology; Geotechnical engineering; Sediment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003854063,0.0003348103,0.0002112779,0.001042263,0.001591647,0.001394007,0.000714826,0.0008154199,0.001603317],"category_scores_gemma":[0.0006651341,0.0002264981,0.0006769713,0.002302645,0.0008776661,0.0006543276,0.001000137,0.0007819206,0.0002244964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900794,"about_ca_system_score_gemma":0.0009758417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05629999,"about_ca_topic_score_gemma":0.1071594,"domain_scores_codex":[0.9997227,0.00008274391,0.00001673951,0.00002191851,0.00004658284,0.0001094336],"domain_scores_gemma":[0.9993398,0.000266488,0.0001427131,0.00003545222,0.00008531028,0.0001302843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004885329,0.00164335,0.7073541,0.0003605752,0.0001976097,0.1895129,0.02913742,0.01891718,0.002454129,0.008983379,0.007152219,0.03379869],"study_design_scores_gemma":[0.00005708492,0.0008094453,0.7828478,0.000182203,0.0003113453,0.03117102,0.1516751,0.01434889,0.001712489,0.002147483,0.01458792,0.0001491875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958571,0.0001391075,0.0001323232,0.0002292423,0.00000344879,0.00001385413,0.00009505523,0.000005483741,0.003524439],"genre_scores_gemma":[0.9980986,0.0004708837,0.0001900751,0.00003672345,0.000004978702,0.000006239911,0.00007128749,0.000003414516,0.0011178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05629999,"threshold_uncertainty_score":0.1119446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0044827295789664,"score_gpt":0.230847242240997,"score_spread":0.2263645126620306,"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."}}