{"id":"W772062243","doi":"10.1109/mper.2001.4311322","title":"A Case-Based Windows Graphic Package for the Education and Training of Power System Restoration","year":2001,"lang":"en","type":"article","venue":"IEEE Power Engineering Review","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Graphical user interface; Computer science; Expert system; Blackout; Software engineering; Imperfect; User interface; Electric power system; Power (physics); Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00156214,0.001759031,0.0009296909,0.002832964,0.0003924791,0.001635754,0.002200366,0.001261821,0.1753734],"category_scores_gemma":[0.008167682,0.001150132,0.001046178,0.001918334,0.0003111102,0.001922583,0.001387622,0.00190993,0.03410275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006670382,"about_ca_system_score_gemma":0.001070996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002250575,"about_ca_topic_score_gemma":0.002503207,"domain_scores_codex":[0.9993088,0.0001923417,0.00008008746,0.00007986947,0.0002809001,0.00005802183],"domain_scores_gemma":[0.9961511,0.002798029,0.0001643804,0.0002962318,0.0004295612,0.0001608466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005531806,0.0004908982,0.0008305551,0.001786676,0.00007953951,0.001355714,0.0006474517,0.01421023,0.009496183,0.02770114,0.4869657,0.4558828],"study_design_scores_gemma":[0.0006570869,0.0002306453,0.002752163,0.0008625211,0.00007878462,0.001585418,0.0001342956,0.07039524,0.01049655,0.03074085,0.8819456,0.0001209169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003827622,0.0007869488,0.8289419,0.0009795179,0.000446984,0.00197133,0.01459997,0.1044936,0.043952],"genre_scores_gemma":[0.0146417,0.001225137,0.9098861,0.0005231649,0.0001601185,0.004135539,0.01600238,0.01240115,0.04102479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1753734,"threshold_uncertainty_score":0.5866825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977451682928621,"score_gpt":0.2386458036497955,"score_spread":0.2188712868205093,"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."}}