{"id":"W1970591879","doi":"10.1109/icsmc.2007.4414176","title":"Accurate and fast frequency tracking for power system signals","year":2007,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Interpolation (computer graphics); Tracking (education); Computer science; Zero crossing; Algorithm; Power (physics); Point (geometry); Simple (philosophy); Basis (linear algebra); Control theory (sociology); Trajectory; Mathematics; Control (management); Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004331351,0.00009289702,0.0001312301,0.00004515541,0.00004429884,0.00004564353,0.00004918802,0.00005762307,0.00006199055],"category_scores_gemma":[0.00002240609,0.00008194627,0.00003189945,0.0000766124,0.00000983708,0.0001342461,0.00000571347,0.00003655243,0.000007267794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004705359,"about_ca_system_score_gemma":0.000005209942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004596535,"about_ca_topic_score_gemma":0.00002145996,"domain_scores_codex":[0.9993713,0.0000088231,0.0002489328,0.0001170811,0.00006467428,0.0001891406],"domain_scores_gemma":[0.999652,0.00008441689,0.00001988611,0.0001112408,0.00005745023,0.0000749614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003403698,0.000439724,0.05965741,0.01681943,0.001412609,0.0001383036,0.02899966,0.2711894,0.1633281,0.3973798,0.01602295,0.04427217],"study_design_scores_gemma":[0.00397726,0.0002809653,0.03293696,0.0005033739,0.00009060161,0.0001375974,0.01397411,0.8896945,0.04018764,0.0004570978,0.01542238,0.002337527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02588702,0.0001804185,0.9201584,0.00001256979,0.0003190777,0.0002777927,0.00001211883,0.0003971562,0.05275546],"genre_scores_gemma":[0.9960025,0.000001980682,0.003804445,0.00001789552,0.00001524795,0.000009736563,0.000002713035,0.00001625225,0.0001292268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9701155,"threshold_uncertainty_score":0.3341672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01486427261770206,"score_gpt":0.2397030450014734,"score_spread":0.2248387723837714,"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."}}