{"id":"W4362703913","doi":"10.1016/j.carbon.2023.118004","title":"From waste graphite fines to revalorized anode material for Li-ion batteries","year":2023,"lang":"en","type":"article","venue":"Carbon","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; European Synchrotron Radiation Facility","keywords":"Materials science; Graphite; Agglomerate; Composite material; Brinell scale; Coating; Lithium-ion battery; Lithium (medication); Calendering; Battery (electricity); Chemical engineering; Ultimate tensile strength","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002246157,0.0003368813,0.0002186966,0.0008278882,0.0004304237,0.001029136,0.0004252712,0.0006588613,0.003599823],"category_scores_gemma":[0.0002691548,0.000214872,0.0002470776,0.00045385,0.0004343898,0.0007917465,0.0005761113,0.0009082179,0.001101857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003556235,"about_ca_system_score_gemma":0.0002377151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003418534,"about_ca_topic_score_gemma":0.001766838,"domain_scores_codex":[0.9998603,0.000008698064,0.000008042116,0.00002181309,0.00007402342,0.00002713805],"domain_scores_gemma":[0.999944,0.000008698883,0.000007662225,0.0000129138,0.00001547725,0.00001123763],"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":[0.0004782008,0.0002144524,0.0005892453,0.001198335,0.00003385083,0.0008321809,0.0002943947,0.001566847,0.8423588,0.0209671,0.004713273,0.1267533],"study_design_scores_gemma":[0.00002161996,0.000390481,0.001111962,0.000151844,0.00002234248,0.0003978797,0.0001598413,0.001310343,0.9169676,0.003468309,0.07596454,0.00003318921],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83841,0.05657677,0.01552408,0.001587387,0.001982227,0.0001025601,0.00072165,0.000930887,0.08416447],"genre_scores_gemma":[0.9459497,0.01689062,0.006540508,0.0003770337,0.0001789683,0.00002387517,0.0004508941,0.0001746765,0.02941375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003599823,"threshold_uncertainty_score":0.01204258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016677142792835,"score_gpt":0.2479932118642621,"score_spread":0.2313160690714271,"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."}}