{"id":"W4400831366","doi":"10.1002/adfm.202405358","title":"The Rise of Multivalent Metal–Sulfur Batteries: Advances, Challenges, and Opportunities","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Polymer Materials Engineering; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Materials science; Sulfur; Nanotechnology; Metal; Engineering physics; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001987526,0.0002305907,0.0002872616,0.00007824733,0.00009773835,0.00006318979,0.0001178922,0.00007189509,0.0001122202],"category_scores_gemma":[0.00003783556,0.0001623931,0.00003856571,0.00004807005,0.0002359071,0.000507472,0.00008040677,0.00007429463,0.00001532017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003026471,"about_ca_system_score_gemma":0.00001196677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001061271,"about_ca_topic_score_gemma":0.000002082312,"domain_scores_codex":[0.9989445,0.00003150376,0.0003915545,0.0002321676,0.0001563601,0.0002439501],"domain_scores_gemma":[0.9994046,0.0002240342,0.00005345672,0.00023673,0.00004491659,0.00003628242],"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":[0.00008995435,0.00001287638,0.000001301542,0.001001871,0.0001335567,0.00001629607,0.0000961433,0.0009176072,0.7029867,0.04621461,0.0002792194,0.2482499],"study_design_scores_gemma":[0.0002297477,0.00008737697,0.0002902582,0.000226359,0.0000335789,0.00003902013,0.0006217341,0.00006974571,0.5977569,0.01814899,0.3822088,0.0002875402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6010934,0.3831721,0.00227287,0.001262583,0.008009695,0.0004825603,0.0004744032,0.001671801,0.001560693],"genre_scores_gemma":[0.8539788,0.1448864,0.0005087407,0.00001315831,0.0001312258,0.0001535162,0.00001700599,0.00004573432,0.0002654955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3819295,"threshold_uncertainty_score":0.6622198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03491446732341406,"score_gpt":0.2308150364604678,"score_spread":0.1959005691370538,"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."}}