{"id":"W86432547","doi":"10.1007/978-94-007-6818-5_11","title":"Using Multi-Agent Systems for Hardware Upgrade Advice in Smart Grid Simulations","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Upgrade; Grid; Renewable energy; Smart grid; Distributed generation; Reliability (semiconductor); Supply and demand; Systems engineering; Engineering; Computer science; Environmental economics; Electrical engineering; Operating system; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007321028,0.000636442,0.0007645069,0.0003382028,0.0006214295,0.001279796,0.001006495,0.001388676,0.004636128],"category_scores_gemma":[0.003886038,0.0006147923,0.000515222,0.0003266792,0.0004587071,0.00139739,0.001119883,0.001471321,0.0005989919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005377421,"about_ca_system_score_gemma":0.0005110379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389942,"about_ca_topic_score_gemma":0.004633941,"domain_scores_codex":[0.99968,0.0001806963,0.0000164637,0.00003236978,0.00007029066,0.00002017856],"domain_scores_gemma":[0.9984828,0.001154817,0.00007561218,0.0000991963,0.0001309722,0.00005676024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003235899,0.00002929796,0.0002085456,0.00003654086,0.00001974991,0.00004058084,0.00004987146,0.9804839,0.0007338045,0.005382904,0.0004607145,0.01252161],"study_design_scores_gemma":[0.000004319361,0.000003516851,0.00001531522,0.000002918888,0.000001913828,0.000002462041,0.000003376933,0.9975812,0.0001819352,0.001893023,0.0003081464,0.000001696785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05693063,0.0005359043,0.9198765,0.0005659611,0.0002114228,0.0001023764,0.000111715,0.00153448,0.020131],"genre_scores_gemma":[0.7420757,0.0003858841,0.2494237,0.0001295622,0.00007264065,0.000164801,0.000111076,0.0003724154,0.007264187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004636128,"threshold_uncertainty_score":0.01550943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02059880489122757,"score_gpt":0.2360787229354018,"score_spread":0.2154799180441742,"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."}}