{"id":"W4391469097","doi":"10.1007/978-3-031-50236-1_13","title":"Direct Recycling of Lithium-Ion Batteries Using Hydrothermal Relithiation","year":2024,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hydrothermal circulation; Lithium (medication); Ion; Materials science; Environmental science; Chemical engineering; Chemistry; Engineering; Psychology; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006119519,0.0005970638,0.0009299913,0.000247441,0.0001485372,0.0003367125,0.0002324938,0.0004046943,0.001609698],"category_scores_gemma":[0.00002562507,0.0004784656,0.0001930882,0.00008957087,0.0001588982,0.0006478201,0.00006948497,0.0002532917,0.0001783973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007278764,"about_ca_system_score_gemma":0.00004998291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006315237,"about_ca_topic_score_gemma":0.00006195259,"domain_scores_codex":[0.9976781,0.00006861267,0.001205655,0.0003866271,0.0003823029,0.0002787215],"domain_scores_gemma":[0.9988069,0.0000964933,0.0004248051,0.0004583095,0.0001586901,0.00005479409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000716119,0.000007584054,5.271687e-7,0.001394817,0.0003139742,0.000007993176,0.0005316155,0.003522401,0.9769402,0.01519791,0.001914731,0.00009661278],"study_design_scores_gemma":[0.0001060004,0.00004651724,0.000003617775,0.0006143244,0.0003476571,0.00005755743,0.00005994305,0.0003047595,0.5481619,0.005929582,0.4438107,0.0005573917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0861194,0.02012075,0.0007931875,0.0004873698,0.01529084,0.001619209,0.001164811,0.00209259,0.8723118],"genre_scores_gemma":[0.2469532,0.002939494,0.0006592714,0.0001173974,0.001597613,0.00007653029,0.0003003926,0.0003843468,0.7469718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.441896,"threshold_uncertainty_score":0.9997667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02449315083075362,"score_gpt":0.2481025728176162,"score_spread":0.2236094219868625,"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."}}