{"id":"W1492810508","doi":"10.1596/978-1-4648-0341-3","title":"Power for All: Electricity Access Challenge in India","year":2014,"lang":"en","type":"book","venue":"The World Bank eBooks","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Mains electricity; Rural area; Renewable energy; Quarter (Canadian coin); Population; Business; Electricity retailing; Electricity generation; Economic growth; Agricultural economics; Geography; Economics; Electricity market; Power (physics); Engineering; Political science; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006067827,0.0003962671,0.000368088,0.0001206992,0.0001413879,0.00005182444,0.001118034,0.0002368125,0.001995246],"category_scores_gemma":[0.0000179878,0.0002927584,0.0001499509,0.00005646127,0.0002517193,0.00008640838,0.0004393854,0.0005741909,0.0004288453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005301321,"about_ca_system_score_gemma":0.0000303846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004521085,"about_ca_topic_score_gemma":0.001462159,"domain_scores_codex":[0.9981133,0.00008490758,0.0003152284,0.0004787637,0.0003700672,0.000637713],"domain_scores_gemma":[0.9987332,0.0002793396,0.000212725,0.0006583342,0.000002205111,0.000114149],"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":[0.0006636919,0.0004437674,0.001175303,0.0001878955,0.0003873212,0.00007565441,0.002579497,0.005139946,0.0005557548,0.07974332,0.8390135,0.07003431],"study_design_scores_gemma":[0.0004071853,0.00009609916,0.008074786,0.00005559581,0.00003816326,0.00000227082,0.00000146861,0.00002685224,0.0002453543,0.02972801,0.9608838,0.0004404021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001779458,0.00009366344,0.00004257228,0.0003552351,0.0001709575,0.0006761138,0.00001016137,0.00004565799,0.9968262],"genre_scores_gemma":[0.1886222,0.00002948775,0.00003701232,0.002234585,0.0001445773,0.0001196344,0.00002572551,0.00007110184,0.8087157],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1881105,"threshold_uncertainty_score":0.9999524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717793028430806,"score_gpt":0.2493347192433966,"score_spread":0.2321567889590886,"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."}}