{"id":"W4403912201","doi":"10.1007/s42461-024-01043-w","title":"Recovery of Lithium, Cobalt, and Graphite Contents from Black Mass of LCO-Based Discarded Li-Ion Batteries","year":2024,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Graphite; Cobalt; Lithium (medication); Ion; Materials science; Carbon black; Inorganic chemistry; Chemistry; Metallurgy; Composite material; Organic chemistry; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317753,0.0001372752,0.0002382188,0.0001907999,0.0000281089,0.00006310606,0.00004917953,0.00007570281,0.00007155604],"category_scores_gemma":[0.00004478294,0.0001345951,0.00006730065,0.000232112,0.00006479883,0.0007734755,0.00000778977,0.00007201153,0.00001088744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001489312,"about_ca_system_score_gemma":0.00001785789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001726926,"about_ca_topic_score_gemma":0.00002685176,"domain_scores_codex":[0.9991165,0.00004334522,0.0003952605,0.0001771232,0.0001754976,0.00009228851],"domain_scores_gemma":[0.9995443,0.0001333667,0.00008250456,0.0001223293,0.00008010904,0.0000373444],"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":[0.0001225993,0.00005292823,0.0009495076,0.0008479907,0.0003856153,0.000006838973,0.005632599,0.06485459,0.9170502,0.0005615004,0.001597107,0.007938487],"study_design_scores_gemma":[0.001054183,0.0003272568,0.001970953,0.0009673277,0.0003157103,0.000002623051,0.004028707,0.3599089,0.6043143,0.003472365,0.02303872,0.0005988957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8039618,0.001092555,0.1924373,0.0002092561,0.0006779085,0.0001255928,0.00004763579,0.0001950843,0.001252868],"genre_scores_gemma":[0.9978408,0.0003467872,0.001290162,0.00002628808,0.00004816903,0.00002288208,0.000190558,0.00002444286,0.0002098874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3127359,"threshold_uncertainty_score":0.548863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995441158979172,"score_gpt":0.2420489769668691,"score_spread":0.2120945653770773,"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."}}