{"id":"W4313505965","doi":"10.1007/978-3-031-17425-4_80","title":"Cobalt–Nickel Separations Using Supported Liquid Membranes for End-of-Life Lithium-Ion Battery Recycling","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Nickel; Cobalt; Membrane; Battery (electricity); Lithium (medication); Materials science; Ion; Lithium-ion battery; Inorganic chemistry; Chemistry; Metallurgy; Organic chemistry; Psychology; Thermodynamics; Physics","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":[0.0001128765,0.0004277091,0.0003674034,0.0005696106,0.0003903059,0.001308075,0.0008218121,0.0006377128,0.00658341],"category_scores_gemma":[0.0001164224,0.0002810444,0.0004110683,0.0006910392,0.0002585201,0.001352755,0.0004647169,0.001009711,0.006173797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006115921,"about_ca_system_score_gemma":0.0003469164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006077071,"about_ca_topic_score_gemma":0.001601974,"domain_scores_codex":[0.9998801,0.00000602249,0.000005363848,0.00001665205,0.00007967375,0.00001225613],"domain_scores_gemma":[0.999969,0.000008584242,0.000002445098,0.000004444634,0.00001284254,0.000002615797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001056384,0.0001960141,0.00009929958,0.001053745,0.00002619377,0.0004428651,0.0002147293,0.001134638,0.6038411,0.02634733,0.01326287,0.3532756],"study_design_scores_gemma":[0.000008489375,0.00009075806,0.0002803758,0.0001409772,0.00001895626,0.0006926521,0.00007263006,0.003523813,0.6628349,0.004495771,0.3278168,0.0000239947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1052601,0.1468136,0.2345082,0.00232015,0.00271031,0.0003075879,0.000604852,0.002411906,0.5050633],"genre_scores_gemma":[0.1744838,0.04813835,0.06608426,0.0005359281,0.0002995148,0.0001007369,0.0006670344,0.0004580486,0.7092323],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.00658341,"threshold_uncertainty_score":0.02202374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08270174938947107,"score_gpt":0.3127417339413094,"score_spread":0.2300399845518384,"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."}}