{"id":"W4400317270","doi":"10.1088/1755-1315/1363/1/012017","title":"Beyond Green: Integrating Economic and Social Aspects to Environmental Life Cycle Assessments in Canadian Housing","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Life-cycle assessment; Environmental planning; Environmental resource management; Natural resource economics; Political science; Economics; Environmental science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005509756,0.0003365949,0.0002499771,0.0002274561,0.0007266458,0.0004445727,0.0003019091,0.00009851258,0.001797259],"category_scores_gemma":[0.00001436387,0.0003358722,0.00003942116,0.0002445478,0.002182055,0.001797787,0.0006063365,0.0002809963,0.0002082273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001351858,"about_ca_system_score_gemma":0.0001663762,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04692206,"about_ca_topic_score_gemma":0.1064657,"domain_scores_codex":[0.9972792,0.00005623388,0.0003129829,0.0009455003,0.0004005489,0.001005544],"domain_scores_gemma":[0.9987951,0.00002605361,0.00004302481,0.0002097208,7.556185e-7,0.0009253509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001092444,0.0001866092,0.5033914,0.00008133838,0.00002976579,0.0002530413,0.0159754,0.0007622133,0.2096666,0.004640114,0.00007164889,0.2648326],"study_design_scores_gemma":[0.0003135486,0.0003314969,0.969856,0.00003085203,0.00001494348,0.00005713807,0.009247477,0.00758715,0.004911621,0.001333235,0.005590975,0.0007255326],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899573,0.0001035516,0.00001367971,0.0009420175,0.0001412233,0.0003781815,0.00009696942,0.00003144473,0.008335667],"genre_scores_gemma":[0.9984936,0.00008855709,0.0004269928,0.0004951553,0.0000411766,0.00002181606,0.00001752039,0.0000223207,0.0003928552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4664646,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008355622093602114,"score_gpt":0.233717933228853,"score_spread":0.2253623111352508,"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."}}