{"id":"W6979271264","doi":"","title":"Open Datasets for Grid Modeling and Visualization: An Alberta Power Network Case","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Optimal Power Flow Distribution","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Smart grid; Grid; Renewable energy; Variety (cybernetics); Network topology; Analytics; Electric power system; Electricity; Electricity generation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001517737,0.0001280101,0.0001372994,0.00002954716,0.0001427342,0.0001088092,0.0001798018,0.00006996545,0.00003009902],"category_scores_gemma":[0.00004985601,0.0001412261,0.00001918801,0.0001699258,0.00001310776,0.0004998745,0.0001463957,0.00006442144,0.00001109883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003730672,"about_ca_system_score_gemma":0.00001603976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001680349,"about_ca_topic_score_gemma":0.0003250224,"domain_scores_codex":[0.9992992,0.00001539305,0.0001874497,0.0002324894,0.00004090741,0.0002245874],"domain_scores_gemma":[0.9995402,0.00004714619,0.00001634138,0.0002880151,0.00003809459,0.00007028119],"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":[0.0001240398,0.0001218676,0.04157973,0.0002051462,0.000216074,0.0001077434,0.0003295719,0.8404695,0.0004351953,0.008652708,0.1063494,0.001408962],"study_design_scores_gemma":[0.0005506733,0.00005027549,0.0009917422,0.00005006733,0.00004502516,0.00003421326,0.00006409382,0.9759771,0.0001646911,0.0001590549,0.02169591,0.0002171526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8387281,0.0002940806,0.1583315,0.0001021464,0.0006739047,0.0005165078,0.0004471322,0.0001163683,0.0007903353],"genre_scores_gemma":[0.9968159,0.00001557849,0.0007814346,0.0001525458,0.0001070327,0.00004309625,0.002002338,0.00002394865,0.00005815436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1580878,"threshold_uncertainty_score":0.5759031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923736059126976,"score_gpt":0.3098020083530905,"score_spread":0.2805646477618208,"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."}}