{"id":"W1977271664","doi":"10.1016/j.jpowsour.2013.03.108","title":"An electrochemically roughened Cu current collector for Si-based electrode in Li-ion batteries","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Current collector; Electrode; Materials science; Copper; Slurry; FOIL method; Composite material; Coating; Current (fluid); Metallurgy; Chemical engineering; Electrical engineering; Chemistry; Electrolyte","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":[],"consensus_categories":[],"category_scores_codex":[0.0002021588,0.0001962514,0.0003405879,0.0001599725,0.00003879405,0.0001072291,0.0002743917,0.00006496727,0.0002714575],"category_scores_gemma":[0.00006143437,0.000174821,0.00006492949,0.0001320983,0.00002710929,0.0004436838,0.0000110873,0.0001783079,0.00000813998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666367,"about_ca_system_score_gemma":0.00004110906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000189064,"about_ca_topic_score_gemma":0.000003396664,"domain_scores_codex":[0.9986601,0.00004233636,0.0005900532,0.0001260948,0.0002079879,0.000373454],"domain_scores_gemma":[0.9993576,0.00009043792,0.0001952992,0.000150184,0.0001322697,0.00007423272],"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":[0.0001365497,0.0001078222,0.001228325,0.00007358628,0.00003117924,0.000001835643,0.0003344667,0.004164097,0.9894189,0.000009198279,0.003662515,0.0008315347],"study_design_scores_gemma":[0.001982499,0.001107378,0.002956347,0.0001962134,0.00003416038,0.00001722922,0.000104416,0.002661524,0.9712474,0.001531538,0.01768955,0.0004716844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650082,0.0006277885,0.0331453,0.0001906436,0.0007016161,0.0002511771,0.000006629086,0.00004399444,0.00002463602],"genre_scores_gemma":[0.9944655,0.00003897734,0.004920867,0.0001551254,0.0003046262,0.00004609179,0.000006151176,0.00004744444,0.00001518749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02945732,"threshold_uncertainty_score":0.7128994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007533526412401757,"score_gpt":0.2473056476442583,"score_spread":0.2397721212318565,"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."}}