{"id":"W4405935104","doi":"10.1109/icrera62673.2024.10815252","title":"Hybrid Renewable Energy Systems and Their Optimization for Remote Community Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Renewable energy; Computer science; Electrical engineering; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004057085,0.0005933803,0.0004762881,0.0004220397,0.0004227144,0.0008670622,0.0005647576,0.0006822083,0.002654009],"category_scores_gemma":[0.0005804545,0.0002743166,0.0004601091,0.0005843304,0.0003464248,0.0003807188,0.0005262252,0.0004899608,0.0001882969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109761,"about_ca_system_score_gemma":0.001221722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04107143,"about_ca_topic_score_gemma":0.05591443,"domain_scores_codex":[0.9998274,0.00006223225,0.000003932741,0.00001977178,0.00006000276,0.00002665045],"domain_scores_gemma":[0.9998662,0.00007207577,0.00001728663,0.000005739752,0.00002780248,0.00001088796],"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":[0.000008493274,0.00001595304,0.0001624089,0.00001372545,0.00000702372,0.00002000128,0.000004585834,0.9960949,0.0002745714,0.0007085362,0.00009090102,0.002598875],"study_design_scores_gemma":[0.00000764277,0.00002658674,0.000182094,0.00000362018,0.000003536157,0.00000681115,0.00001960834,0.9986231,0.0001210481,0.0006308561,0.0003724693,0.000002582892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4014935,0.001699981,0.5367119,0.0006088331,0.00006971441,0.00031831,0.0003423367,0.00043182,0.05832351],"genre_scores_gemma":[0.9617109,0.0003295232,0.03279637,0.00003369094,0.000007692845,0.0001077449,0.00009071266,0.00002990958,0.004893502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04107143,"threshold_uncertainty_score":0.08166468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247966610861222,"score_gpt":0.2012654610556092,"score_spread":0.188785794946997,"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."}}