{"id":"W3136829750","doi":"10.3390/buildings11030130","title":"IEA EBC Annex83 Positive Energy Districts","year":2021,"lang":"en","type":"article","venue":"Buildings","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"LEAPS; Work (physics); Context (archaeology); Renewable energy; Agency (philosophy); Urbanization; Business; Environmental planning; Political science; Regional science; Economic growth; Engineering; Geography; Sociology; Economics; Social science","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":[],"consensus_categories":[],"category_scores_codex":[0.00003065797,0.0001246493,0.0001161143,0.00004967152,0.0000695292,0.00004953254,0.00009485523,0.00008795445,0.00008342107],"category_scores_gemma":[0.00001560933,0.0001387917,0.00005445237,0.0003219982,0.00001497969,0.0001337366,0.00003677108,0.00008146178,0.000004523561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136272,"about_ca_system_score_gemma":0.00001685061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002539374,"about_ca_topic_score_gemma":0.000007991463,"domain_scores_codex":[0.9993768,0.00001083159,0.0001256308,0.0001693467,0.0001094147,0.0002079306],"domain_scores_gemma":[0.9996727,0.0000261538,0.00001834618,0.0001617576,0.00005477072,0.00006627166],"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":[0.000009043844,0.0000532261,0.0003067252,0.00002991315,0.0001070656,0.0001032179,0.0001421991,0.8308164,0.01491707,0.1110933,0.02099489,0.02142685],"study_design_scores_gemma":[0.0008306219,0.0000539774,0.001693013,0.0001539338,0.00007505855,0.0001610914,0.000086276,0.2248646,0.4083638,0.003734554,0.3589183,0.001064823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3278471,0.003528323,0.5941153,0.0005191911,0.001687643,0.00007832643,0.00004101958,0.001628391,0.07055465],"genre_scores_gemma":[0.9926947,0.0002421394,0.005115715,0.0002821355,0.000136917,0.00001102648,0.00008184496,0.00003783476,0.001397717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6648476,"threshold_uncertainty_score":0.5659761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003321547115200289,"score_gpt":0.162941028397821,"score_spread":0.1596194812826207,"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."}}