{"id":"W1868796678","doi":"10.3968/j.est.1923847920130601.2627","title":"Analyses and Discussions of the Blackout in Indian Power Grid","year":2013,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blackout; Grid; Power grid; Electric power system; Power (physics); Computer science; Control (management); China; Computer security; Engineering; Reliability engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005434533,0.0001674816,0.0001235952,0.001373355,0.001111464,0.002020903,0.000428878,0.0004053684,0.001708334],"category_scores_gemma":[0.001162003,0.0001192178,0.000283378,0.002239558,0.0009349483,0.0009311878,0.0005710048,0.0006278399,0.00009413206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118553,"about_ca_system_score_gemma":0.0008058497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03286617,"about_ca_topic_score_gemma":0.02895046,"domain_scores_codex":[0.9996821,0.00007745442,0.00001617925,0.00002879603,0.00009953819,0.00009599738],"domain_scores_gemma":[0.9992405,0.0003001169,0.0001471664,0.00004795944,0.000228465,0.00003580314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000532055,0.0001327754,0.1172691,0.000809017,0.000126447,0.007777856,0.02852285,0.06894557,0.009787352,0.56249,0.03418731,0.1694197],"study_design_scores_gemma":[0.00002025561,0.000161961,0.3974926,0.0005239893,0.0002228146,0.00188526,0.06277762,0.1020033,0.01446787,0.1264166,0.2938407,0.0001869498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7632591,0.004342139,0.008058297,0.005362981,0.0001926477,0.00004226149,0.0004154244,0.0002203575,0.2181066],"genre_scores_gemma":[0.9946159,0.001143825,0.0003561985,0.0001528336,0.0000277717,0.000005334286,0.0000750134,0.00001590772,0.003607329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03286617,"threshold_uncertainty_score":0.06534976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005218019636738169,"score_gpt":0.2077004431202826,"score_spread":0.2024824234835444,"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."}}