{"id":"W4384928922","doi":"10.53055/icimod.1022","title":"Alternative renewable energy in Bhutan: Key findings and policy recommendations","year":2023,"lang":"en","type":"book","venue":"","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; International Development Research Centre; World Bank Group","keywords":"Renewable energy; Energy subsidies; Feed-in tariff; Hydropower; Natural resource economics; Renewable energy credit; Energy policy; Context (archaeology); Business; Hydroelectricity; Environmental impact of the energy industry; Revenue; Electricity; Wind power; Economics; Engineering; Geography; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805985,0.0005434062,0.000408281,0.002139685,0.001217908,0.005960456,0.00193651,0.001833841,0.04446752],"category_scores_gemma":[0.002674646,0.0001930077,0.000395232,0.007412933,0.0007190898,0.003744627,0.001756007,0.001434343,0.004919664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007334941,"about_ca_system_score_gemma":0.01341851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1121426,"about_ca_topic_score_gemma":0.1706965,"domain_scores_codex":[0.9990182,0.0002524118,0.00004074229,0.00005633073,0.0004089432,0.0002234132],"domain_scores_gemma":[0.9980835,0.0008413397,0.0001128873,0.00006388549,0.0006801382,0.0002183098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009979151,0.0002904362,0.005663787,0.004634642,0.00002488303,0.001055622,0.001145903,0.001834001,0.0008984706,0.08530403,0.5493685,0.3496799],"study_design_scores_gemma":[0.00002676309,0.00008119987,0.02402047,0.003930085,0.00004572418,0.0004157134,0.01271428,0.00107638,0.001258966,0.0221411,0.934229,0.00006035597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03122331,0.1881539,0.001122101,0.2103674,0.006035695,0.0004966752,0.0106817,0.0003782088,0.551541],"genre_scores_gemma":[0.2344408,0.3632068,0.007562785,0.03238791,0.001693774,0.0004765362,0.01099341,0.0001255596,0.3491124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1121426,"threshold_uncertainty_score":0.2229797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745058041362832,"score_gpt":0.2463373479271035,"score_spread":0.2288867675134752,"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."}}