{"id":"W4230110808","doi":"10.1109/tste.2017.2751243","title":"IEEE Transactions on Sustainable Energy","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Energy Efficiency and Management","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Sustainable energy; Energy (signal processing); Computer science; Environmental economics; Business; Electrical engineering; Renewable energy; Engineering; Economics","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051883,0.000927662,0.0007300604,0.001069032,0.005323579,0.0006864104,0.001494524,0.0005202662,0.001525092],"category_scores_gemma":[0.00002429633,0.0009519639,0.0006481088,0.0007276721,0.0004293674,0.001251708,0.000007362079,0.0006354633,0.0001126635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040442,"about_ca_system_score_gemma":0.0003671559,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04161295,"about_ca_topic_score_gemma":0.003989357,"domain_scores_codex":[0.9943213,0.0002046277,0.0007834685,0.001382968,0.0009420834,0.002365527],"domain_scores_gemma":[0.9955789,0.0002334625,0.0003708436,0.002766015,0.000529996,0.0005207307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003837945,0.001204404,3.41715e-7,0.0001038701,0.0002723295,0.0006261596,0.0001810743,0.6428585,0.0003146422,0.3004158,0.002039238,0.0515998],"study_design_scores_gemma":[0.002735533,0.00105909,0.00001323116,0.00009031452,0.0002999752,0.00003216443,0.005006497,0.008968228,0.1937388,0.009803145,0.7766626,0.001590451],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00193102,0.0001050241,0.8244039,0.0009343492,0.001812819,0.0002437427,0.00001765481,0.0006100285,0.1699414],"genre_scores_gemma":[0.6288112,0.000367176,0.0001129676,0.0008512384,0.0001610935,0.0005130408,0.000006707775,0.0001371832,0.3690394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.824291,"threshold_uncertainty_score":0.9993876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112172756081121,"score_gpt":0.2369111549408011,"score_spread":0.2257894273799899,"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."}}