{"id":"W4392642848","doi":"10.1109/access.2024.3375336","title":"Optimal Design of a Decarbonized Sector-Coupled Microgrid: Electricity-Heat-Hydrogen-Transport Sectors","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Hybrid Renewable Energy Systems","field":"Energy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microgrid; Environmental economics; Automotive engineering; Context (archaeology); Hydrogen vehicle; Renewable energy; Electricity; Computer science; Environmental science; Engineering; Fuel cells; Electrical engineering; Hydrogen fuel; Economics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006305177,0.0005111141,0.0008051372,0.0005890556,0.00009781389,0.0001653164,0.001016033,0.0002901248,0.0003255389],"category_scores_gemma":[0.0000323729,0.0004705221,0.0003468815,0.001780539,0.00009912651,0.0004801605,0.00004793196,0.0003366467,0.00006327346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002412811,"about_ca_system_score_gemma":0.0004734039,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02048051,"about_ca_topic_score_gemma":0.001138436,"domain_scores_codex":[0.9965904,0.0002427562,0.0009088602,0.0008157253,0.0006233501,0.0008188611],"domain_scores_gemma":[0.9984902,0.0003281841,0.0001281901,0.0006807837,0.0001477352,0.0002249308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001359098,0.00008493513,0.001056478,0.0002227765,0.0004817221,0.0002889483,0.0001697765,0.5616976,0.434909,0.00015609,0.0004366571,0.0003600758],"study_design_scores_gemma":[0.0008794565,0.0001257003,0.0002263124,0.0002225992,0.0001888137,0.0001186681,0.00001471757,0.1610549,0.830744,0.0001001485,0.005709651,0.0006149894],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9575146,0.003736698,0.03420077,0.0000276142,0.002011799,0.000476021,0.00002182035,0.0006925693,0.001318087],"genre_scores_gemma":[0.9973658,0.000186229,0.0006399206,0.00005444087,0.000758995,0.0001412965,0.0000358101,0.0001915244,0.0006259272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4006427,"threshold_uncertainty_score":0.9997746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0244587266902651,"score_gpt":0.2657625947932895,"score_spread":0.2413038681030244,"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."}}