{"id":"W7100095051","doi":"","title":"Improvements in AODV towards Smart Grid Routing- Test Bed Development & Prioritized Routing for Emergency Scenarios","year":2012,"lang":"en","type":"article","venue":"","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Windsor; Test (biology); Routing (electronic design automation); Personalization; Doors; Grid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001636639,0.0005148731,0.0004201675,0.0008381483,0.0003706992,0.001316793,0.001290263,0.0003634454,0.01161272],"category_scores_gemma":[0.005605356,0.0002673535,0.0002636812,0.001301669,0.0001827734,0.001627089,0.0005412736,0.0004379661,0.003297604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008113288,"about_ca_system_score_gemma":0.001240763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375233,"about_ca_topic_score_gemma":0.01824292,"domain_scores_codex":[0.999168,0.0002416765,0.00007516667,0.00008060361,0.0003827416,0.0000518811],"domain_scores_gemma":[0.9980282,0.0006616292,0.00004994013,0.0003178494,0.0008516092,0.00009070836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004379333,0.0004064403,0.004139252,0.0006697105,0.00006580075,0.0001376953,0.0001275111,0.1415748,0.00802048,0.00544145,0.06874375,0.7702351],"study_design_scores_gemma":[0.000237744,0.0005800143,0.004067804,0.0001452307,0.00009528912,0.0001743989,0.0003818088,0.7884604,0.02483501,0.0058124,0.1751519,0.0000580108],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2486807,0.008841714,0.5455988,0.007646904,0.002526285,0.002750735,0.02468402,0.03403679,0.1252342],"genre_scores_gemma":[0.5442136,0.005334295,0.3799221,0.0004407379,0.0001788628,0.0006337175,0.02700155,0.00141402,0.0408611],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01375233,"threshold_uncertainty_score":0.0388484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472883793514321,"score_gpt":0.2687671732206315,"score_spread":0.2440383352854883,"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."}}