{"id":"W2017883660","doi":"10.1109/smartgrid.2010.5622090","title":"Ontology-Based Resource Description and Discovery Framework for Low Carbon Grid Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; EnGlobe (Canada); Université du Québec à Montréal","funders":"Canarie","keywords":"Computer science; Scalability; Ontology; Semantic grid; Distributed computing; Virtualization; Resource management (computing); Resource (disambiguation); Smart grid; Database; Grid; World Wide Web; Data science; Cloud computing; Semantic Web; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004431499,0.0009540801,0.001245694,0.003753985,0.002144204,0.005179656,0.003606897,0.001785432,0.001866661],"category_scores_gemma":[0.004499251,0.0008591912,0.002956985,0.003562385,0.001479858,0.006262904,0.003416863,0.002591704,0.0008713357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003807104,"about_ca_system_score_gemma":0.005337018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03635388,"about_ca_topic_score_gemma":0.04288806,"domain_scores_codex":[0.9970189,0.0007543141,0.0005557318,0.000437808,0.001007908,0.0002252796],"domain_scores_gemma":[0.9984861,0.0005330769,0.0001692523,0.0003084459,0.000357776,0.0001452998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001028509,0.0002485637,0.001190577,0.0005481721,0.0002056148,0.0009314647,0.001173669,0.1436318,0.004972132,0.7104627,0.01228008,0.1242525],"study_design_scores_gemma":[0.00003669519,0.00003189672,0.0003240262,0.0001827348,0.00009476597,0.0003242231,0.0003764394,0.7228224,0.002953683,0.1771872,0.09557611,0.00008980274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001239454,0.0001794388,0.9944363,0.0003774817,0.00002881163,0.0002218479,0.0005481978,0.001338961,0.001629571],"genre_scores_gemma":[0.03584057,0.0005732966,0.958434,0.0001889064,0.0000347748,0.0005789096,0.002365531,0.0001891204,0.001794907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03635388,"threshold_uncertainty_score":0.07228458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139642724853413,"score_gpt":0.2297786174111874,"score_spread":0.2183821901626533,"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."}}