{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001710964,0.0007923595,0.0008384611,0.0001358429,0.0003875288,0.0001377116,0.0005358342,0.001501709,0.02076486],"category_scores_gemma":[0.000564221,0.0006984487,0.0004255507,0.0002392882,0.0003883267,0.0004616019,0.0005225553,0.0006626928,0.0002734966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202106,"about_ca_system_score_gemma":0.0005026735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1515812,"about_ca_topic_score_gemma":0.09919292,"domain_scores_codex":[0.9938297,0.00004926398,0.001318452,0.001590252,0.001764992,0.00144729],"domain_scores_gemma":[0.9954606,0.0001545996,0.001277835,0.00220907,0.00004212576,0.000855711],"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":[0.00003769419,0.0002782017,0.01003814,0.00007192798,0.0001672949,0.004880997,0.00005970318,0.003557072,0.002607174,0.00001945553,0.9688104,0.009471925],"study_design_scores_gemma":[0.0002551021,0.00009319659,0.01412239,0.00003673421,0.000108302,0.004115418,0.00003207643,0.00001179282,0.001862747,0.0006963206,0.9777461,0.0009198597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0102725,0.0002486947,0.002739327,0.0002629618,0.006313848,0.0005192165,0.0001231221,0.0002406289,0.9792797],"genre_scores_gemma":[0.01896656,0.001954801,0.006640366,0.0004001005,0.00108996,0.0002648509,0.005711368,0.0002188127,0.9647532],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05238828,"threshold_uncertainty_score":0.9997945,"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."}}