{"id":"W2186791108","doi":"","title":"Lost in Development's Shadow: The Downstream Human Consequences of Dams","year":2010,"lang":"en","type":"article","venue":"Digital Library Of The Commons Repository (Indiana University)","topic":"Hydropower, Displacement, Environmental Impact","field":"Social Sciences","cited_by":399,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Centro Internacional de Agricultura Tropical; International Development Research Centre; International Fine Particle Research Institute; World Bank Group","keywords":"Downstream (manufacturing); Environmental planning; Shadow (psychology); Environmental science; Environmental resource management; Business; Water resource management; Geography; Natural resource economics; Political science; Environmental ethics; Economics; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001125565,0.0001294976,0.0001691588,0.0001511594,0.0005376941,0.00010313,0.00133134,0.00009359896,0.0001473793],"category_scores_gemma":[0.00002754214,0.00009894901,0.0001144172,0.000521753,0.002503018,0.001329253,0.0003817226,0.0002474097,0.00001501125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000805994,"about_ca_system_score_gemma":0.0003035106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008148391,"about_ca_topic_score_gemma":0.001519103,"domain_scores_codex":[0.9988586,0.0001621394,0.0002411509,0.0001775049,0.0003162904,0.0002442753],"domain_scores_gemma":[0.9990892,0.0001260959,0.0002514161,0.0004127875,0.000009686085,0.000110767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003573451,0.0002941992,0.9722698,0.00001455766,0.00006302026,0.00005430381,0.004044584,0.00001305696,0.008650461,0.01349886,0.0006797563,0.0003817021],"study_design_scores_gemma":[0.00124187,0.000177785,0.4893513,0.0002870089,0.00007016066,0.00002232204,0.02280175,0.000004182616,0.211072,0.001206999,0.2730177,0.0007469598],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6939635,0.00001201349,3.948161e-7,0.0003692477,0.0001179161,0.0001852256,0.0000398927,0.00001466363,0.3052971],"genre_scores_gemma":[0.989204,0.000004283738,0.00002264655,0.00002336441,0.00002053977,4.027324e-7,0.00001123462,0.000009461117,0.01070405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4829185,"threshold_uncertainty_score":0.9222474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068317262222772,"score_gpt":0.2703748560071706,"score_spread":0.2596916833849429,"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."}}