{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003521457,0.00009012817,0.000140975,0.0001463457,0.0002513189,0.000038641,0.0002537892,0.0000407781,0.00003922212],"category_scores_gemma":[0.00006364597,0.00005334989,0.0000258366,0.0004259909,0.00008434578,0.00008626471,0.0002287688,0.0001177493,0.00002479598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075326,"about_ca_system_score_gemma":0.00009928823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.444695,"about_ca_topic_score_gemma":0.1313267,"domain_scores_codex":[0.9988781,0.0001219399,0.0002476027,0.00017998,0.0001882372,0.0003841355],"domain_scores_gemma":[0.9996846,0.00001601492,0.00005179876,0.0001844414,0.00002729616,0.00003585903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00000206178,0.00009670595,0.3210808,0.000003225197,0.0000109445,0.00003125137,0.6768169,0.000004221165,0.0000106337,0.0000751177,0.00002766396,0.001840536],"study_design_scores_gemma":[0.001484678,0.00006267806,0.264431,0.00003814004,0.00001175445,0.00001255578,0.7203212,0.00007026007,0.0003306044,0.0004677502,0.0124552,0.0003140982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810406,0.000009727853,1.430318e-7,0.0006152043,0.00005180447,0.0007369793,0.000001052609,0.00001249517,0.01753201],"genre_scores_gemma":[0.998588,0.000003861305,0.00001040387,0.0001180859,0.00006889468,0.00008994618,1.780872e-7,0.000007562726,0.00111313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133683,"threshold_uncertainty_score":0.8845243,"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."}}