{"id":"W4407362253","doi":"10.1109/isgteurope62998.2024.10863534","title":"Microgrid Connector Controller Prototype","year":2024,"lang":"en","type":"article","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cable gland; Microgrid; Computer science; Controller (irrigation); Electrical engineering; Engineering; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004453536,0.0006808479,0.0003836226,0.0003802073,0.0004508896,0.0008136143,0.001611737,0.0007045144,0.0167412],"category_scores_gemma":[0.0007338229,0.000172963,0.0002366535,0.0002338039,0.0003280037,0.0007514571,0.0005799496,0.0006204492,0.003593452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568621,"about_ca_system_score_gemma":0.0007054516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826684,"about_ca_topic_score_gemma":0.001704073,"domain_scores_codex":[0.9996217,0.0000482225,0.00002082988,0.00007930616,0.0001752818,0.00005457264],"domain_scores_gemma":[0.99955,0.00005206498,0.00002196815,0.000120589,0.0001858259,0.00006947054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00216124,0.002174309,0.007095855,0.001908135,0.0001469225,0.002572478,0.001200406,0.05249733,0.6048349,0.01256655,0.0520757,0.2607661],"study_design_scores_gemma":[0.001070749,0.007372627,0.01498603,0.0001133522,0.0001229947,0.0014174,0.0006804222,0.2000034,0.5678214,0.002531371,0.203697,0.0001831798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6123563,0.0004006999,0.239469,0.0006979073,0.001025622,0.004519988,0.004105028,0.0238402,0.1135852],"genre_scores_gemma":[0.9468578,0.0001084402,0.03045413,0.0001804785,0.00003994074,0.0006450506,0.001746461,0.0003116792,0.01965602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167412,"threshold_uncertainty_score":0.05600482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003154439513342968,"score_gpt":0.176690908068838,"score_spread":0.173536468555495,"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."}}