{"id":"W7100095051","doi":"","title":"Improvements in AODV towards Smart Grid Routing- Test Bed Development &amp;amp; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007089901,0.0003261429,0.0003016494,0.0001071526,0.0001352194,0.00003571068,0.0001831196,0.0001478628,0.0003088657],"category_scores_gemma":[0.0004743841,0.0003442232,0.000114657,0.0002833951,0.00001181036,0.0003752215,0.0001053418,0.0002012922,0.0002520163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005775094,"about_ca_system_score_gemma":0.00006308994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282296,"about_ca_topic_score_gemma":0.0004039552,"domain_scores_codex":[0.9976683,0.00001585378,0.0007688518,0.0002772467,0.0002612609,0.001008466],"domain_scores_gemma":[0.9993228,0.00005773662,0.00006920857,0.0002623294,0.0001002522,0.0001876217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001232876,0.001402674,0.7853078,0.0009879608,0.0004015943,0.000002638053,0.006311133,0.001511911,0.1270299,0.0007884895,0.02760139,0.04853133],"study_design_scores_gemma":[0.0112073,0.0001873367,0.543489,0.0004784316,0.000201286,0.00001477983,0.0008080972,0.05159487,0.07502446,0.0001155981,0.3120878,0.004791026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927658,0.0001491464,0.06473222,0.00006131992,0.002571461,0.001235154,0.00008876077,0.0008084468,0.00269545],"genre_scores_gemma":[0.9587614,0.00001431445,0.03966604,0.00002943097,0.0002670542,0.0001991892,0.0004224846,0.00006445839,0.0005756381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2844864,"threshold_uncertainty_score":0.999901,"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."}}