{"id":"W1599465458","doi":"10.2172/991558","title":"Indian Renewable Energy Status Report: Background Report for DIREC 2010","year":2010,"lang":"en","type":"report","venue":"","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Office of Energy Efficiency; National Renewable Energy Laboratory; Danish International Development Agency; European Commission; Global Environment Facility; U.S. Department of State; Office of Energy Efficiency and Renewable Energy; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Renewable energy; Software deployment; Business; Government (linguistics); Wind power; Scale (ratio); Environmental economics; Natural resource economics; Renewable resource; Environmental resource management; Economics; Engineering; Geography","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":[0.001315137,0.0009899989,0.0004456776,0.004083341,0.0007447412,0.002876565,0.001575826,0.0009061016,0.01675005],"category_scores_gemma":[0.002481295,0.0003954234,0.0004867052,0.006400478,0.0001931529,0.001203285,0.0009425455,0.001211695,0.01452621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004540863,"about_ca_system_score_gemma":0.01378684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.140582,"about_ca_topic_score_gemma":0.1675808,"domain_scores_codex":[0.9982318,0.0000904542,0.0001131001,0.00008958927,0.001275221,0.0001998947],"domain_scores_gemma":[0.9974058,0.0001502604,0.0001983673,0.0001552634,0.00189751,0.0001928043],"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":[0.000165678,0.0001284177,0.004018419,0.0007546893,0.00002048596,0.0001529723,0.00007162533,0.0006276279,0.0007157558,0.002628677,0.9534461,0.03726948],"study_design_scores_gemma":[0.00001027654,0.00002552424,0.01369659,0.0001393501,0.0000176793,0.00008351623,0.000107985,0.0001402278,0.0008791077,0.0003654456,0.9845133,0.00002090576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006315805,0.006776019,0.00163037,0.005723029,0.003615719,0.001057687,0.5491838,0.001502946,0.4241946],"genre_scores_gemma":[0.03613505,0.0190108,0.006023709,0.002312349,0.0007665009,0.00132636,0.5415673,0.0007981811,0.3920598],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.140582,"threshold_uncertainty_score":0.2795275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294123816349721,"score_gpt":0.2710531262515968,"score_spread":0.2416407446166247,"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."}}