{"id":"W3043242233","doi":"10.3390/su12145837","title":"Key Challenges and Opportunities for Recycling Electric Vehicle Battery Materials","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Hydro-Québec","funders":"","keywords":"Software deployment; Electric vehicle; Battery (electricity); Key (lock); Process (computing); Scale (ratio); Environmental economics; Business; Risk analysis (engineering); Engineering; Computer science; Computer security; 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":[0.0001876133,0.00008503272,0.000129096,0.00002872034,0.00005541145,0.00003912857,0.00004212455,0.00004990826,0.0000330529],"category_scores_gemma":[0.0003125489,0.0000882387,0.00001854146,0.00003903921,0.00001800169,0.0001996022,0.00001089244,0.00005263822,0.000001454016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005739265,"about_ca_system_score_gemma":0.00004451539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001038503,"about_ca_topic_score_gemma":0.000001533039,"domain_scores_codex":[0.999464,0.00002660779,0.0001665611,0.0001409675,0.00005148237,0.0001503729],"domain_scores_gemma":[0.9995719,0.00009835067,0.00002034085,0.00007402904,0.0001621466,0.00007327986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006556212,0.0001915825,0.000687997,0.02939212,0.0002161652,0.00003889135,0.02791982,0.004174109,0.1758941,0.05864014,0.01291398,0.6892755],"study_design_scores_gemma":[0.002283292,0.0009218631,0.01368179,0.00005661188,0.0001128794,0.00001853244,0.02839969,0.04873909,0.2977172,0.09841872,0.5079176,0.001732749],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706008,0.004564265,0.002780629,0.01909366,0.000139246,0.0004475279,0.00001056272,0.0004748269,0.001888408],"genre_scores_gemma":[0.9980327,0.001334828,0.00006597562,0.0002706552,0.00009226808,0.00005986046,0.000004971343,0.00001430085,0.0001243625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6875428,"threshold_uncertainty_score":0.359827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0695371951403684,"score_gpt":0.2744049491245097,"score_spread":0.2048677539841413,"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."}}