{"id":"W2960772528","doi":"10.1007/s11837-019-03656-9","title":"Aluminum: Recycling and Environmental Footprint","year":2019,"lang":"en","type":"article","venue":"JOM","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alcoa (Canada)","funders":"","keywords":"Footprint; Ecological footprint; Environmental science; Waste management; Aluminium; Materials science; Engineering; Metallurgy; Sustainable development; Geography; Political science; Archaeology","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":[0.0005399174,0.0004620104,0.0002660171,0.001247383,0.0005909486,0.001868471,0.0004027466,0.001356512,0.004454387],"category_scores_gemma":[0.0006882584,0.0001603754,0.0003407987,0.001546295,0.0005073016,0.0008919163,0.0006094879,0.0003084013,0.0006579583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001555495,"about_ca_system_score_gemma":0.0008624249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249862,"about_ca_topic_score_gemma":0.007449318,"domain_scores_codex":[0.9995141,0.00009652595,0.00002136462,0.00006964821,0.0002279525,0.00007043177],"domain_scores_gemma":[0.9995555,0.0001008504,0.000139686,0.00002379933,0.0001575483,0.00002260084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004924692,0.001219456,0.1459781,0.004121084,0.0009730462,0.002847807,0.0008300631,0.03770484,0.2507482,0.07939374,0.0111338,0.4601251],"study_design_scores_gemma":[0.0001101556,0.002548129,0.1484962,0.0007823344,0.000862618,0.002647513,0.004585354,0.01910172,0.6107258,0.05297653,0.1569792,0.0001844272],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8832989,0.03072941,0.008299458,0.002949983,0.0002032173,0.00004001704,0.0008550923,0.0002006158,0.07342342],"genre_scores_gemma":[0.9708163,0.006730502,0.001675364,0.0002217723,0.0000488455,0.00001065147,0.0001803347,0.00003303036,0.02028316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004454387,"threshold_uncertainty_score":0.01490134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004980352543654995,"score_gpt":0.1902468065803043,"score_spread":0.1852664540366493,"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."}}