{"id":"W3127204598","doi":"10.3389/frsc.2021.630973","title":"Residential Densification for Positive Energy Districts","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; Canada Excellence Research Chairs, Government of Canada","keywords":"TRNSYS; Roof; Environmental science; Electricity; Renewable energy; Photovoltaic system; Zero-energy building; Building envelope; Single-family detached home; Building-integrated photovoltaics; Energy consumption; Electricity generation; Apartment; Agricultural economics; Environmental engineering; Civil engineering; Engineering; Meteorology; Electrical engineering; Geography; Thermal; Power (physics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002019611,0.0002510546,0.0002401947,0.000349677,0.0005432902,0.001326342,0.0005519084,0.0003938301,0.01582622],"category_scores_gemma":[0.0005589145,0.000194584,0.0005244021,0.0007331036,0.0003533624,0.000766222,0.0006665762,0.0003015168,0.0007417759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851619,"about_ca_system_score_gemma":0.0007796134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04707494,"about_ca_topic_score_gemma":0.1051971,"domain_scores_codex":[0.9998658,0.00003805971,0.000003775141,0.00002377654,0.00002422189,0.00004438544],"domain_scores_gemma":[0.9999136,0.00001792999,0.00001249005,0.00001607533,0.00002250203,0.00001733562],"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":[0.0001698567,0.0001456611,0.03773122,0.0001151726,0.00006400688,0.0005643532,0.0003385886,0.865017,0.002213745,0.05253466,0.004781612,0.03632404],"study_design_scores_gemma":[0.0001562905,0.0002846227,0.09558052,0.00009380751,0.0001057478,0.0004486202,0.003496568,0.7974358,0.003109762,0.02202126,0.07719034,0.00007666473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8770595,0.0003220443,0.03223933,0.0004719406,0.00006280266,0.0001855913,0.001468515,0.0003632894,0.0878269],"genre_scores_gemma":[0.991967,0.00008583161,0.002593859,0.00002269101,0.000003769887,0.00003481752,0.0002845185,0.00002192143,0.0049855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04707494,"threshold_uncertainty_score":0.09360188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003839595092401095,"score_gpt":0.1797439328803497,"score_spread":0.1759043377879486,"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."}}