{"id":"W4410800712","doi":"10.1016/j.resconrec.2025.108324","title":"Quantifying material stocks in long-lived products: Challenges and improvements for informing sustainable resource use strategies","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"HORIZON EUROPE Framework Programme; Austrian Science Fund; European Commission","keywords":"Resource (disambiguation); Resource use; Natural resource economics; Business; Resource efficiency; Environmental resource management; Environmental economics; Environmental planning; Environmental science; Economics; Computer science; Ecology","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":[0.02638697,0.002250094,0.001629848,0.009775319,0.001014578,0.009334021,0.00334157,0.00222032,0.005640317],"category_scores_gemma":[0.05760958,0.0008009231,0.001964271,0.01222879,0.002364396,0.01951744,0.005602564,0.002132528,0.001548104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003219448,"about_ca_system_score_gemma":0.006199511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04462754,"about_ca_topic_score_gemma":0.04489349,"domain_scores_codex":[0.9907185,0.00375307,0.001314025,0.001467028,0.00241258,0.0003347925],"domain_scores_gemma":[0.9468051,0.02237293,0.006648093,0.007323532,0.01632843,0.0005218603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001533386,0.0001934886,0.274505,0.009003975,0.001331727,0.0003926855,0.003679044,0.04216111,0.003594942,0.09075039,0.02117773,0.5530566],"study_design_scores_gemma":[0.00003444423,0.0002178442,0.1744865,0.01685267,0.001062844,0.0003902594,0.01660967,0.0744867,0.01273086,0.3776997,0.3248669,0.0005616206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.200349,0.1016817,0.5377777,0.04272363,0.002089673,0.0009486226,0.04283401,0.001422942,0.07017266],"genre_scores_gemma":[0.6427463,0.05226533,0.2773926,0.003797276,0.0006902689,0.001130385,0.01689344,0.0007164606,0.004367967],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04462754,"threshold_uncertainty_score":0.1395493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03487056152955786,"score_gpt":0.2837734520311454,"score_spread":0.2489028905015875,"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."}}