{"id":"W3107485147","doi":"10.1049/gtd2.12000","title":"Comprehensive assessment of COVID‐19 impact on Saskatchewan power system operations","year":2020,"lang":"en","type":"article","venue":"IET Generation Transmission & Distribution","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); Electric power system; Electricity; Renewable energy; Pandemic; Corporation; Environmental economics; Estimation; Principal (computer security); Business; Control (management); Electricity generation; Power (physics); Operations management; Computer science; Operations research; Engineering; Economics; Computer security; Electrical engineering; Systems engineering; Finance; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003448863,0.0002675774,0.0003076157,0.00002783816,0.0003354635,0.00006627411,0.0001957147,0.000136521,0.002951215],"category_scores_gemma":[0.00006956264,0.0002222597,0.0002037955,0.0004352097,0.0001043973,0.0002637223,0.00003736122,0.0001901051,0.00009991743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385065,"about_ca_system_score_gemma":0.0003571862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006313371,"about_ca_topic_score_gemma":0.00003088811,"domain_scores_codex":[0.9974833,0.0004384513,0.0005903966,0.0004931044,0.0007336537,0.0002611675],"domain_scores_gemma":[0.9986908,0.00008053846,0.0001508894,0.0003205189,0.00005966105,0.0006975805],"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":[0.0001577317,0.0003151167,0.002900941,0.0001163814,0.00003894843,0.00000632045,0.002012637,0.4840072,0.4830503,0.00072423,0.02418329,0.002486902],"study_design_scores_gemma":[0.00314144,0.001832137,0.1204277,0.00006967858,0.0001121624,0.00001408652,0.002279076,0.7082368,0.08607237,0.00004058747,0.07687566,0.0008982758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4286475,0.00001514205,0.5622846,0.007298966,0.00008342167,0.0005399206,0.000798316,0.0001172768,0.0002147931],"genre_scores_gemma":[0.994906,0.000008593506,0.001084119,0.002209336,0.00005899371,0.00002842212,0.001659322,0.00001609397,0.00002912069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5662585,"threshold_uncertainty_score":0.9979602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0488839015650203,"score_gpt":0.3531929593677821,"score_spread":0.3043090578027618,"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."}}