{"id":"W4386445925","doi":"10.1080/01430750.2023.2256332","title":"Optimising a solar-based microgrid system for urban areas: a case study in Edmonton","year":2023,"lang":"en","type":"article","venue":"International Journal of Ambient Energy","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Microgrid; Photovoltaic system; Electricity; Photovoltaics; Fossil fuel; Grid; Environmental economics; Environmental science; Solar energy; Civil engineering; Engineering; Environmental engineering; Waste management; Electrical engineering; Geography; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002681424,0.0006391427,0.0003656024,0.0003035687,0.0007071044,0.0007973422,0.0007247885,0.0007337305,0.001459465],"category_scores_gemma":[0.0003332127,0.0002722275,0.0004115559,0.0005177961,0.0004635858,0.0002481641,0.0003486257,0.0003620785,0.00008855024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003444349,"about_ca_system_score_gemma":0.002509361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.419712,"about_ca_topic_score_gemma":0.5770356,"domain_scores_codex":[0.9998935,0.00002912871,0.000002702533,0.00001346752,0.00002025982,0.00004081312],"domain_scores_gemma":[0.9998884,0.0000510744,0.000009149638,0.000007093309,0.0000221112,0.00002200495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009284818,0.00005879863,0.002929319,0.00006292191,0.00002182078,0.001036016,0.00008390462,0.9892598,0.001531584,0.0006467443,0.0003809319,0.003895265],"study_design_scores_gemma":[0.00006974148,0.0001957742,0.00763344,0.00001846995,0.00004139955,0.0001080569,0.0006643863,0.9869489,0.002235333,0.0004615973,0.001602058,0.00002077428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987098,0.0001593951,0.004240409,0.0001209537,0.000007471295,0.00006682771,0.0001538356,0.00006957749,0.008083499],"genre_scores_gemma":[0.9942226,0.00008598487,0.002725129,0.00001193987,0.00000133575,0.00001454519,0.00008815515,0.000007513116,0.002842788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5802879,"threshold_uncertainty_score":0.8345381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462614866034833,"score_gpt":0.2486404317042783,"score_spread":0.23401428304393,"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."}}