{"id":"W4399653488","doi":"10.1016/j.mattod.2024.05.008","title":"Emerging macromolecular brush-based materials for stabilizing lithium metal anodes","year":2024,"lang":"en","type":"article","venue":"Materials Today","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Department of Education of Guangdong Province; National Natural Science Foundation of China","keywords":"Brush; Lithium metal; Lithium (medication); Materials science; Anode; Metal; Nanotechnology; Macromolecule; Chemistry; Composite material; Metallurgy; Electrode; Medicine","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":[0.001122895,0.0004829357,0.0006385934,0.0002028643,0.0001157713,0.0006652672,0.0003027798,0.0001554987,0.003369467],"category_scores_gemma":[0.00009104417,0.0004688589,0.00008505039,0.000153007,0.00006110731,0.0004018206,0.00008692481,0.00006402105,0.0002167046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895526,"about_ca_system_score_gemma":0.0000432801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001363166,"about_ca_topic_score_gemma":0.000001485755,"domain_scores_codex":[0.9974732,0.0001166317,0.0008405059,0.0005306597,0.0003289497,0.0007099836],"domain_scores_gemma":[0.9991721,0.0001216293,0.00006958368,0.0004820851,0.00007169033,0.0000828999],"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":[0.00004707941,0.00001709259,0.000001704659,0.001722451,0.0001077887,0.00003802868,0.0001335745,0.00137636,0.9935287,0.0007765435,0.001783681,0.0004669855],"study_design_scores_gemma":[0.0003408985,0.0000514356,0.00001406045,0.0002925446,0.00008701907,0.00001030164,0.00002681586,0.0002621144,0.964186,0.001381853,0.03282877,0.0005182555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.952217,0.0007210219,0.03080466,0.0001957681,0.01166488,0.0009933838,0.001444926,0.00164457,0.0003137674],"genre_scores_gemma":[0.9895543,0.00002724599,0.008198584,0.0001764862,0.0007512248,0.0005321976,0.0002742548,0.0002810943,0.0002045527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03733734,"threshold_uncertainty_score":0.9997763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243629960656752,"score_gpt":0.260405963264582,"score_spread":0.2479696636580145,"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."}}