{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745214,0.0007639472,0.0006087808,0.002319428,0.0006645176,0.00354543,0.001434806,0.0008143566,0.003402029],"category_scores_gemma":[0.007457346,0.0004216098,0.0008267259,0.002545116,0.0008027913,0.004792826,0.002711491,0.00145276,0.0007348102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001447026,"about_ca_system_score_gemma":0.001511581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629133,"about_ca_topic_score_gemma":0.01700152,"domain_scores_codex":[0.9987153,0.0004892449,0.0001349427,0.0002078,0.0003847458,0.00006796318],"domain_scores_gemma":[0.996788,0.002041846,0.0002004034,0.0004976447,0.0003770469,0.00009505295],"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":[0.0002015543,0.0002957556,0.00264736,0.0004484911,0.0001564688,0.0006272501,0.0009303753,0.5259264,0.003979159,0.1599434,0.009063042,0.2957807],"study_design_scores_gemma":[0.00003482757,0.00004910904,0.0004148535,0.00008464008,0.00005018376,0.00008454077,0.0003765988,0.8004291,0.002605335,0.1709767,0.02485687,0.00003727775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02008283,0.0002775102,0.9628641,0.001332749,0.00008656627,0.0002732261,0.001519912,0.005514773,0.008048237],"genre_scores_gemma":[0.3023656,0.0006894091,0.690853,0.0002824019,0.00004289795,0.0002269046,0.002814329,0.0003079039,0.002417475],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01629133,"threshold_uncertainty_score":0.03239298,"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."}}