{"id":"W4394720786","doi":"10.1002/aenm.202400208","title":"Advanced Cellulosic Materials Toward High‐Performance Metal Ion Batteries","year":2024,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Waterloo Institute for Nanotechnology, University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Zhejiang Wanli University","keywords":"Materials science; Cellulosic ethanol; Metal; Chemical engineering; Nanotechnology; Cellulose; Metallurgy; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003288847,0.0008431718,0.0009959274,0.000285429,0.0001440023,0.0004209437,0.000519522,0.000229381,0.004206095],"category_scores_gemma":[0.0000206333,0.0008126693,0.00006722497,0.0003241947,0.0001413726,0.001925539,0.0002191687,0.000116795,0.000621233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002488902,"about_ca_system_score_gemma":0.00003107484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002158153,"about_ca_topic_score_gemma":0.000002159847,"domain_scores_codex":[0.9964355,0.0001248089,0.001191482,0.0008143974,0.0004233118,0.001010502],"domain_scores_gemma":[0.9988217,0.00009320998,0.0001328936,0.0007474277,0.00006315114,0.0001416022],"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":[0.0001211371,0.00002101673,0.000001287453,0.000864927,0.0001257515,0.0000485063,0.0001049276,0.01396403,0.9705136,0.003258751,0.0004157975,0.01056023],"study_design_scores_gemma":[0.0004994391,0.0001316882,0.00007500816,0.0003878118,0.00006423486,0.00003535389,0.00003096406,0.00005352946,0.9614275,0.001990715,0.03440797,0.0008957803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690354,0.001252145,0.004288562,0.00009906681,0.0214096,0.0003271234,0.0005436697,0.00237755,0.0006669236],"genre_scores_gemma":[0.9900424,0.002153899,0.004017462,0.0002262572,0.0009988231,0.0005860332,0.0005348162,0.0003443808,0.001095881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03399217,"threshold_uncertainty_score":0.9994324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0082974943271265,"score_gpt":0.2165021292216312,"score_spread":0.2082046348945047,"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."}}