{"id":"W4381571074","doi":"10.3390/designs7030073","title":"Toward Positive Energy Districts by Urban–Industrial Energy Exchange","year":2023,"lang":"en","type":"article","venue":"Designs","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Industrial symbiosis; Carbon footprint; Environmental economics; Renewable energy; Efficient energy use; Sustainable development; Factory (object-oriented programming); Business; Ecological footprint; Greenhouse gas; Environmental planning; Computer science; Environmental science; Engineering; 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":[0.001716577,0.0003766267,0.0001590606,0.0005578689,0.001164212,0.002948835,0.000655952,0.0006083768,0.00574364],"category_scores_gemma":[0.0009445416,0.0002262406,0.0002539866,0.0007118939,0.002171186,0.00228412,0.004081788,0.0005573985,0.0008293825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621319,"about_ca_system_score_gemma":0.002329075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001209017,"about_ca_topic_score_gemma":0.005672984,"domain_scores_codex":[0.9985856,0.0009152875,0.00002553975,0.0001004099,0.0001931141,0.0001801093],"domain_scores_gemma":[0.9995334,0.0001196384,0.00006642965,0.00008571732,0.00009443763,0.0001002375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001029086,0.0003463927,0.005714752,0.0001912683,0.00002308861,0.0002290997,0.002889725,0.04287393,0.006319064,0.8290608,0.003017932,0.109231],"study_design_scores_gemma":[0.0001649928,0.0009753035,0.01207555,0.0002801589,0.00005831832,0.0005243366,0.02257087,0.07899449,0.02077442,0.4993614,0.3641395,0.00008064022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2849918,0.0006055514,0.424902,0.003072002,0.00007848761,0.0003837803,0.00005112281,0.0004329142,0.2854823],"genre_scores_gemma":[0.9312879,0.0001943873,0.05678166,0.000109257,0.000009460413,0.0001158445,0.00002356679,0.00003902132,0.01143897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00574364,"threshold_uncertainty_score":0.01921445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05556671594819414,"score_gpt":0.2216112133248557,"score_spread":0.1660444973766616,"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."}}