{"id":"W1846662994","doi":"10.1109/ann.1991.213459","title":"Neural networks for topology determination of power systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Classifier (UML); Circuit breaker; Network topology; Artificial neural network; Topology (electrical circuits); Artificial intelligence; Expressive power; Machine learning; Theoretical computer science; Computer network; Engineering; Electrical engineering","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":[0.0004827692,0.0009186346,0.0006532311,0.0008801495,0.0002852216,0.001120393,0.000900475,0.0009798944,0.003181071],"category_scores_gemma":[0.002020969,0.0004022416,0.0004899346,0.001238301,0.0004529734,0.001348335,0.0005952238,0.001676952,0.001407591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006919321,"about_ca_system_score_gemma":0.0004297042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003671644,"about_ca_topic_score_gemma":0.004152492,"domain_scores_codex":[0.9996938,0.00008100522,0.00002223704,0.00006579664,0.0001150988,0.0000220255],"domain_scores_gemma":[0.9996902,0.000162529,0.0000253935,0.00003329665,0.00007787941,0.00001064509],"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":[0.00005042594,0.00002788947,0.0004780134,0.0002883337,0.00009613946,0.00008561282,0.00004657974,0.6089693,0.00176389,0.07897501,0.009837308,0.2993816],"study_design_scores_gemma":[0.000006647863,0.000008720468,0.000113421,0.00002639642,0.000009200467,0.00002498479,0.00000572745,0.9487062,0.0006292813,0.04109769,0.009362191,0.000009535573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002120828,0.005704177,0.9862786,0.0004055414,0.0002579038,0.00002773013,0.0001776353,0.0005759083,0.004451659],"genre_scores_gemma":[0.2833557,0.01512677,0.6746615,0.0004300695,0.0009606527,0.0004434291,0.001509873,0.0002880496,0.02322397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003671644,"threshold_uncertainty_score":0.01064175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433969419109372,"score_gpt":0.2177231689743999,"score_spread":0.2033834747833062,"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."}}