{"id":"W4393246442","doi":"10.1016/j.resconrec.2024.107567","title":"Spatio-temporal metabolic rifts in urban construction material circularity","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Overconsumption; Circular economy; Natural resource economics; Work (physics); Resource (disambiguation); Material flow analysis; Geography; Industrial ecology; Environmental resource management; Economic geography; Resource efficiency; Business; Economics; Engineering; Sustainability; Ecology; Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004048688,0.0001062294,0.0001274837,0.00005846742,0.0001038116,0.0001174804,0.00005224411,0.00008446286,0.0005236738],"category_scores_gemma":[0.00003962725,0.0000966599,0.00003397575,0.0002023723,0.000226844,0.00029325,0.00006730746,0.0001289628,0.0000241095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001003273,"about_ca_system_score_gemma":0.000008130168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662766,"about_ca_topic_score_gemma":0.000302311,"domain_scores_codex":[0.9990751,0.0001018448,0.000237577,0.0002646392,0.0001513625,0.0001695228],"domain_scores_gemma":[0.9997484,0.00004032418,0.0000386283,0.0001031042,0.000002401828,0.00006713372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002314271,0.00001953613,0.9855124,0.00003146661,0.000005664023,0.000009187021,0.00128074,0.00006982535,0.001705089,0.000291612,0.00007948278,0.01097181],"study_design_scores_gemma":[0.0002175186,0.00001849111,0.9055632,0.00003644468,0.00001369831,0.00001807141,0.0005528055,0.008866205,0.0009551325,0.001488294,0.08210473,0.0001653543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99729,0.0002765691,0.0001221462,0.0006514181,0.0001843337,0.000174921,0.000005291925,0.00005900563,0.001236349],"genre_scores_gemma":[0.9987954,0.00006875466,0.000661098,0.0001687652,0.0000560163,0.000008507628,0.00002297197,0.000009389806,0.000209132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08202524,"threshold_uncertainty_score":0.5733861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009369398477355415,"score_gpt":0.2309180206495436,"score_spread":0.2215486221721882,"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."}}