{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005653348,0.00008937863,0.0001183682,0.0001291939,0.00008453063,0.00005690535,0.00006677296,0.00008017641,0.000006830251],"category_scores_gemma":[0.00004228884,0.0001110621,0.00003701196,0.0002689144,0.00003188034,0.0001963995,0.00001853717,0.00004969904,8.957923e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130334,"about_ca_system_score_gemma":0.0000549478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004668577,"about_ca_topic_score_gemma":0.00001928562,"domain_scores_codex":[0.9993882,0.00001852329,0.0001369422,0.0001318618,0.00007250697,0.0002519987],"domain_scores_gemma":[0.9996752,0.00002247937,0.00001845446,0.000120086,0.0001382984,0.0000254943],"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":[0.00003730171,0.00001881019,0.0006567609,0.0001603973,0.0000497978,0.00005325599,0.0004324029,0.7283354,0.00007511034,0.2064497,0.06103493,0.00269612],"study_design_scores_gemma":[0.001761531,0.00006622214,0.002224451,0.0001175444,0.00008157009,0.0000200613,0.03320133,0.628824,0.06308851,0.1266786,0.1429563,0.0009798836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009883568,0.002398035,0.9832062,0.0001011383,0.0007637386,0.00008251604,0.00000948502,0.0001283993,0.003426966],"genre_scores_gemma":[0.969393,0.0003765044,0.0148864,0.0000532636,0.0001152113,0.0001200921,0.0002584845,0.00003306992,0.01476394],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9683198,"threshold_uncertainty_score":0.4528981,"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."}}