{"id":"W2057194070","doi":"10.2166/wp.2013.001","title":"Risk sharing in hydropower development: case study of the Chukha Hydel Project in Bhutan","year":2013,"lang":"en","type":"article","venue":"Water Policy","topic":"South Asian Studies and Conflicts","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hydroelectricity; Hydropower; Business; Electricity; Electricity market; Economic rent; Position (finance); Natural resource economics; Finance; Environmental planning; Economics; Engineering; Geography; Market economy","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":[0.002213283,0.000376519,0.0003209889,0.001114316,0.004322853,0.001910997,0.001179453,0.001741106,0.002502889],"category_scores_gemma":[0.003345917,0.000294793,0.0003674541,0.001994708,0.002698709,0.001458351,0.00268345,0.001187221,0.000137939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003975258,"about_ca_system_score_gemma":0.002613416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03274862,"about_ca_topic_score_gemma":0.06422321,"domain_scores_codex":[0.9979402,0.001358478,0.00005393709,0.00007129167,0.0001994956,0.0003765734],"domain_scores_gemma":[0.9963865,0.002295317,0.0004103504,0.0001281261,0.0002371755,0.0005424887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001579864,0.005161462,0.278405,0.0009310988,0.0004527165,0.1547931,0.1251711,0.177533,0.00808352,0.1347027,0.005674364,0.107512],"study_design_scores_gemma":[0.000443945,0.002711138,0.169121,0.0004521276,0.0002557058,0.01362915,0.5749773,0.1594241,0.006535964,0.03675661,0.03542965,0.0002633272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918892,0.00007863245,0.0009245832,0.0003915204,0.000002477364,0.00006611269,0.00003583617,0.000005385948,0.006606303],"genre_scores_gemma":[0.9982317,0.0001069297,0.0006370767,0.00001673678,0.000002169782,0.00001745519,0.00001314627,0.000002007233,0.0009728564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03274862,"threshold_uncertainty_score":0.06511599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024074196421912,"score_gpt":0.3227149571751575,"score_spread":0.2924742152109384,"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."}}