{"id":"W4390033957","doi":"10.3390/fi16010002","title":"Integrating Knowledge Graphs into Distribution Grid Decision Support Systems","year":2023,"lang":"en","type":"article","venue":"Future Internet","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Grid; Theoretical computer science; Graph; Power graph analysis; Representation (politics); Vocabulary; Visualization; Data mining","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003545186,0.0002588504,0.0002513829,0.0001981597,0.0001204927,0.000254262,0.001222888,0.0001556231,0.00001466172],"category_scores_gemma":[0.0001047969,0.0002098777,0.000145648,0.001624844,0.00004741297,0.0005810794,0.0005760157,0.0003988948,0.0005665745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009764881,"about_ca_system_score_gemma":0.00003926659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003089607,"about_ca_topic_score_gemma":0.00006373516,"domain_scores_codex":[0.9981093,0.00009055124,0.0004321697,0.0006086445,0.0003081688,0.0004512005],"domain_scores_gemma":[0.9986975,0.0001936869,0.0001474284,0.000615477,0.000152268,0.0001936893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000216559,0.00003842756,0.0007280803,0.00004591978,0.00002788302,0.0001081771,0.001462411,0.0002769481,0.0002504017,0.2419533,0.6466417,0.1084451],"study_design_scores_gemma":[0.0005179423,0.0003261418,0.002289155,0.0004397042,0.00001205721,0.0001275474,0.0003358691,0.3059398,0.0007514764,0.02245543,0.666168,0.000636789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02898174,0.0008398294,0.9421713,0.0007094719,0.02437645,0.0004017077,0.0000395301,0.001647883,0.0008320478],"genre_scores_gemma":[0.9847921,0.0001593555,0.01082302,0.0002239312,0.002125248,0.00008639778,0.0005309038,0.00003847574,0.001220547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9558104,"threshold_uncertainty_score":0.8558563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01036027533649476,"score_gpt":0.2700139780997438,"score_spread":0.259653702763249,"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."}}