{"id":"W2808025896","doi":"10.1002/adma.201800561","title":"30 Years of Lithium‐Ion Batteries","year":2018,"lang":"en","type":"review","venue":"Advanced Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":5931,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Argonne National Laboratory; Office of Energy Efficiency; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; Office of Science; Vehicle Technologies Program; University of Chicago","keywords":"Materials science; Lithium (medication); Ion; Nanoarchitectures for lithium-ion batteries; Nanotechnology; Engineering physics; Anode; Electrode; Organic chemistry; Physical chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007476856,0.001081191,0.0009364202,0.001302623,0.0008370612,0.001787179,0.0009684132,0.001337356,0.01073992],"category_scores_gemma":[0.001055153,0.0003415621,0.0005009923,0.002123166,0.0009486082,0.00311869,0.001727151,0.002779067,0.00723437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001178171,"about_ca_system_score_gemma":0.001749971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001418057,"about_ca_topic_score_gemma":0.001761137,"domain_scores_codex":[0.9995613,0.00006294564,0.00005813032,0.00008750329,0.0001838095,0.00004622168],"domain_scores_gemma":[0.9997615,0.0000761516,0.00002396555,0.00001750743,0.0000861208,0.00003474472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009469156,0.000112974,0.0003605723,0.01629724,0.00005535154,0.0005315306,0.000555107,0.0004954285,0.003469086,0.07130701,0.1332913,0.7734298],"study_design_scores_gemma":[0.000001690174,0.00001749518,0.00009250046,0.000918004,0.00000731864,0.0002350361,0.00003210016,0.00001650557,0.0002094887,0.002627683,0.9958361,0.000006006987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005031641,0.9694541,0.0005213614,0.001640509,0.001948411,0.00001735253,0.0001138484,0.00002976227,0.0257714],"genre_scores_gemma":[0.003980788,0.9810907,0.0005107055,0.001645641,0.0009238515,0.00002553423,0.0001543933,0.000009585056,0.01165878],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01073992,"threshold_uncertainty_score":0.03592861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703164734068694,"score_gpt":0.3037849191040038,"score_spread":0.2767532717633169,"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."}}