{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006516771,0.0002163123,0.0001305359,0.0004470846,0.004660234,0.002054489,0.0005490504,0.001047171,0.009317219],"category_scores_gemma":[0.001820822,0.0001256942,0.000258889,0.0006228586,0.004898146,0.002689337,0.004387987,0.001536967,0.0003624078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751513,"about_ca_system_score_gemma":0.00211548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01898123,"about_ca_topic_score_gemma":0.08808657,"domain_scores_codex":[0.9995185,0.0001891379,0.00001246062,0.00004221271,0.0000970217,0.0001406983],"domain_scores_gemma":[0.9995909,0.00008546137,0.000105154,0.00003221434,0.00006364434,0.0001226767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001751816,0.0001609016,0.1448924,0.0003379801,0.00006254091,0.004504777,0.05749728,0.002353764,0.001689775,0.3252955,0.1723578,0.2906722],"study_design_scores_gemma":[0.00003633125,0.0004655643,0.2534356,0.001075817,0.00007441329,0.004553099,0.1977048,0.001408792,0.001724212,0.08342798,0.4559504,0.0001429331],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6300905,0.008836668,0.003870011,0.1983467,0.0009598211,0.00004111995,0.0007604195,0.0001208781,0.1569739],"genre_scores_gemma":[0.9778377,0.004507674,0.0006164424,0.005373129,0.0001446355,0.00001416025,0.00008610627,0.00001241615,0.01140764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01898123,"threshold_uncertainty_score":0.03774148,"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."}}