{"id":"W4389084036","doi":"10.1016/j.wasman.2023.11.018","title":"Charting the electric vehicle battery reuse and recycling network in North America","year":2023,"lang":"en","type":"article","venue":"Waste Management","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Sustainable Transportation Technology; U.S. Department of Transportation","keywords":"Warranty; Reuse; Electric-vehicle battery; Battery (electricity); Repurposing; Business; Competition (biology); Environmental economics; Engineering; Industrial organization; Waste management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351104,0.00006336239,0.00006229125,0.00008515426,0.00007438372,0.00004582215,0.00009173775,0.00001203921,0.00001155646],"category_scores_gemma":[0.00001133406,0.00005436772,0.00001119195,0.0008440823,0.000005877216,0.00007616335,0.00005538156,0.00008955294,0.00008021566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001615065,"about_ca_system_score_gemma":0.000001115923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003002127,"about_ca_topic_score_gemma":0.00003694687,"domain_scores_codex":[0.9994761,0.0000154397,0.000145094,0.0001011706,0.0000779515,0.0001842475],"domain_scores_gemma":[0.9997624,0.00004331728,0.00002135223,0.0001481582,0.000005418137,0.00001934031],"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":[0.00000604561,0.000007939783,0.004565642,0.0001290148,0.00003395919,0.00002086825,0.0008665056,0.9015337,0.0003296336,0.0001235319,0.02018446,0.07219867],"study_design_scores_gemma":[0.0002360274,0.0000148491,0.03340106,0.0000350895,0.00001376994,0.000001066236,0.001433235,0.8512062,0.0001438583,0.0001957083,0.1131423,0.0001768245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852602,0.000337532,0.0009170941,0.0009328443,0.0002058614,0.0001873739,3.79364e-7,0.0003108485,0.01184787],"genre_scores_gemma":[0.9975357,0.001017667,0.000096394,0.0003025448,0.00008630201,0.00003759286,0.000004508033,0.00001352861,0.0009057744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09295786,"threshold_uncertainty_score":0.2217052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162561864786396,"score_gpt":0.2178178963091654,"score_spread":0.2061922776613015,"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."}}