{"id":"W4391617036","doi":"10.1016/j.segan.2024.101302","title":"An expert system-based restoration method for energy services","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Zayed University","keywords":"Downtime; Reliability engineering; Path (computing); Critical path method; Engineering; Plan (archaeology); Computer science; Observability; Electric power system; Operations research; Power (physics); Systems engineering; Computer network","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":[0.0002720105,0.000199907,0.0001759239,0.0001080428,0.0001557092,0.0002779442,0.00009922695,0.0001865825,0.000005140789],"category_scores_gemma":[0.000002641326,0.0001947887,0.00005567475,0.0002725346,0.00001555985,0.000388558,0.00001735053,0.00007609928,2.964689e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328618,"about_ca_system_score_gemma":0.00003744851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00062299,"about_ca_topic_score_gemma":0.00007290663,"domain_scores_codex":[0.9989486,0.00004407666,0.0001964773,0.0002885564,0.00009696034,0.000425305],"domain_scores_gemma":[0.9994885,0.00007438994,0.00001829192,0.0001998412,0.0001047754,0.000114189],"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":[0.00003709943,0.0000108938,0.000003156696,0.0006622876,0.00003581142,0.0000279244,0.00005100606,0.816156,0.000286483,0.1640558,0.004053308,0.01462025],"study_design_scores_gemma":[0.0001512411,0.0001165316,0.000004542419,0.0000806548,0.00002148879,0.000003699595,0.0006026637,0.8282024,0.0007882485,0.0003221892,0.1695126,0.0001937483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001149205,0.01178335,0.9849347,0.00005164447,0.000695493,0.0000918418,0.00001508046,0.0007385487,0.0005401438],"genre_scores_gemma":[0.9943128,0.000189726,0.003352825,0.00008639768,0.0008925964,0.0002317361,0.0005396307,0.00006515289,0.000329192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9931635,"threshold_uncertainty_score":0.7943253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003186010796874422,"score_gpt":0.2290974482386707,"score_spread":0.2259114374417963,"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."}}