{"id":"W4410910871","doi":"10.1016/j.enbuild.2025.115949","title":"Implications of circular strategies on energy, water, and GHG emissions in informal housing in Lima","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Universidad de Lima","keywords":"Greenhouse gas; Energy (signal processing); Environmental science; Natural resource economics; Business; Environmental engineering; Environmental planning; Economics; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005059681,0.0002509046,0.0002054229,0.0007671045,0.00510894,0.003642349,0.001392136,0.002089888,0.008803212],"category_scores_gemma":[0.009193312,0.0002004379,0.0005786303,0.0008890137,0.005931578,0.002383525,0.004174133,0.0009715988,0.0003849926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01001172,"about_ca_system_score_gemma":0.01670188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06073739,"about_ca_topic_score_gemma":0.08666024,"domain_scores_codex":[0.9969422,0.001263698,0.0001001328,0.0001927801,0.0003307464,0.001170324],"domain_scores_gemma":[0.9939489,0.002948633,0.0005794332,0.0003444766,0.001297707,0.0008809052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001019763,0.001392224,0.08979619,0.001456102,0.0001260704,0.003859061,0.0518067,0.008473224,0.005142082,0.6431019,0.02435905,0.1694676],"study_design_scores_gemma":[0.0003134957,0.001135217,0.1610841,0.002299972,0.0002370277,0.001112601,0.2759139,0.01209631,0.008313217,0.1691915,0.3679905,0.0003122303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8071219,0.001700663,0.00422289,0.05986072,0.000170013,0.0003830398,0.0002358246,0.00007918526,0.1262257],"genre_scores_gemma":[0.98858,0.0004013968,0.001877787,0.002500989,0.00001712885,0.0001265745,0.00005860902,0.00001371533,0.006423748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06073739,"threshold_uncertainty_score":0.1207677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556701953062588,"score_gpt":0.269955997797622,"score_spread":0.2543889782669961,"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."}}