{"id":"W4240667328","doi":"10.32920/ryerson.14653608.v1","title":"Microgrid system including PV generation and hybrid backup system","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Backup; Photovoltaic system; Controller (irrigation); Energy storage; Microgrid; Computer science; Grid; Hybrid system; Control engineering; Engineering; Automotive engineering; Power (physics); Embedded system; Electrical engineering; Renewable energy; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002010216,0.0003466277,0.0004710093,0.0001257954,0.0001054899,0.0004698171,0.0001355195,0.0002242949,0.00002354423],"category_scores_gemma":[0.000006251112,0.000356743,0.0001018403,0.00007351991,0.00001255325,0.0001122898,0.0003033344,0.0003089226,0.00001609018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003520911,"about_ca_system_score_gemma":0.00003785667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006023808,"about_ca_topic_score_gemma":0.00002565518,"domain_scores_codex":[0.9986321,0.00005695561,0.000466655,0.00044528,0.000148701,0.0002502961],"domain_scores_gemma":[0.9993168,0.00001819362,0.00008227758,0.0003679791,0.0001215571,0.00009326012],"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":[0.000005754409,0.00001321495,0.0001183297,0.007788457,0.0004100252,0.00008974716,0.0002809444,0.931933,0.03809927,0.0005360122,0.002828177,0.0178971],"study_design_scores_gemma":[0.0002688132,0.000005065124,0.00002362596,0.0005694464,0.00009389545,0.0001196002,0.0003388739,0.9887435,0.008623539,8.092686e-7,0.0008333536,0.0003794206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3874219,0.07741546,0.5146526,0.0000848113,0.008161779,0.001481958,0.0001275119,0.003652523,0.007001498],"genre_scores_gemma":[0.9826751,0.001823153,0.01375716,0.00002036209,0.0009746035,0.00008736133,0.0005236223,0.00007842985,0.00006016606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5952532,"threshold_uncertainty_score":0.9998885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444077764796341,"score_gpt":0.1895377102576264,"score_spread":0.175096932609663,"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."}}