{"id":"W3125809059","doi":"10.3390/su13031040","title":"Environmental Trade-Offs of Downcycling in Circular Economy: Combining Life Cycle Assessment and Material Circularity Indicator to Inform Circularity Strategies for Alkaline Batteries","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Université de Bordeaux; University of Waterloo","keywords":"Scope (computer science); Life-cycle assessment; Circular economy; Resource (disambiguation); Environmental economics; Reduction (mathematics); Resource use; Quality (philosophy); Waterfall; Computer science; Environmental resource management; Environmental science; Economics; Mathematics; Production (economics); Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006273855,0.0006746047,0.0005463866,0.003343933,0.0005163631,0.002718868,0.0006671161,0.0007229759,0.00154925],"category_scores_gemma":[0.009118819,0.0002470983,0.0008602156,0.003202821,0.001042096,0.002632911,0.001558659,0.0006461719,0.0001373516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00410525,"about_ca_system_score_gemma":0.00220958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009395767,"about_ca_topic_score_gemma":0.01952482,"domain_scores_codex":[0.9973804,0.001217371,0.0001245348,0.0002237675,0.0008323286,0.0002215798],"domain_scores_gemma":[0.993369,0.003603801,0.0009631725,0.0003684588,0.001542371,0.0001530483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001241821,0.0006239845,0.1923953,0.0007473763,0.0004120896,0.0006261155,0.001505328,0.5040131,0.01967868,0.02989882,0.001085388,0.2477721],"study_design_scores_gemma":[0.00004866112,0.001910379,0.1734785,0.0003730037,0.0003833207,0.0002554969,0.005834547,0.7099754,0.05363875,0.04516989,0.008648762,0.0002832446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143191,0.0006136477,0.06687913,0.0004136221,0.00001864635,0.0003437067,0.0003489379,0.00009321566,0.01696987],"genre_scores_gemma":[0.9806576,0.0001761168,0.01820135,0.000022956,0.000003500196,0.00006006885,0.0001233843,0.00001613029,0.0007388648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009395767,"threshold_uncertainty_score":0.0331797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009462629221290911,"score_gpt":0.2688473801033298,"score_spread":0.2593847508820389,"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."}}