{"id":"W4415653388","doi":"10.1021/acsaem.5c02545","title":"Cu-Enhanced Bottlebrush Composite Polymer Electrolytes for Superior Mechanical and Electrochemical Performance","year":2025,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Ionic conductivity; Electrochemical window; Electrolyte; Polymer; Overpotential; Crystallinity; Electrochemistry; Composite number; Dielectric spectroscopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002403892,0.0005254163,0.0002213634,0.0002893624,0.0001485638,0.0004449936,0.0003576915,0.0005119735,0.00223032],"category_scores_gemma":[0.0003470734,0.0002656329,0.000158946,0.0002051915,0.0001556078,0.0006970742,0.000266163,0.0004831907,0.0007575564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238078,"about_ca_system_score_gemma":0.0001571553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001894593,"about_ca_topic_score_gemma":0.0004175681,"domain_scores_codex":[0.999831,0.00001557293,0.0000130508,0.00004912212,0.00006487108,0.0000264602],"domain_scores_gemma":[0.9998211,0.00004496543,0.00004379715,0.00001855626,0.00005007753,0.00002152635],"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":[0.00002205317,0.000006593854,0.00002300529,0.00003180229,0.000002272555,0.00002332433,0.000009675861,0.0000543965,0.9968087,0.00007817006,0.00008710959,0.002852862],"study_design_scores_gemma":[0.000002458367,0.00003981857,0.0001908448,0.000002266833,0.000002718376,0.00004888737,0.000004867201,0.0009077828,0.9973626,0.00001647455,0.001417269,0.000004019535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214621,0.004518895,0.06400146,0.0004043561,0.0001882491,0.00009076104,0.0005237007,0.002091058,0.006719332],"genre_scores_gemma":[0.9507033,0.00161342,0.0398047,0.00007725461,0.00003883125,0.00009396835,0.000322956,0.0001613789,0.007184107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00223032,"threshold_uncertainty_score":0.007461131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003454246697543199,"score_gpt":0.1915027107731581,"score_spread":0.1880484640756148,"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."}}