{"id":"W2947357807","doi":"10.1021/acsami.9b02675","title":"Interface in Solid-State Lithium Battery: Challenges, Progress, and Outlook","year":2019,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":293,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; University of Calgary; Alexander von Humboldt-Stiftung","keywords":"Materials science; Interface (matter); Lithium (medication); Solid-state; Battery (electricity); Lithium metal; Nanotechnology; Engineering physics; Systems engineering; Engineering; Composite material; Power (physics); Thermodynamics","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"],"consensus_categories":[],"category_scores_codex":[0.0004048301,0.0004769764,0.0007005009,0.0001554512,0.00002945651,0.0002236237,0.0003888717,0.0001521262,0.0005582707],"category_scores_gemma":[0.000007665702,0.0004630673,0.000007339213,0.00007082599,0.0001169725,0.0003418301,0.0003550483,0.0001584412,0.0006961362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009201555,"about_ca_system_score_gemma":0.000009494523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007354467,"about_ca_topic_score_gemma":0.00001057174,"domain_scores_codex":[0.9978611,0.00005349137,0.0007172944,0.0005600909,0.0001933727,0.000614617],"domain_scores_gemma":[0.9992393,0.00005535853,0.0001261148,0.0004964354,0.00002399393,0.00005881309],"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":[0.0001216585,0.00003717569,0.0001547698,0.0006793874,0.00006078356,0.00000555284,0.001252212,0.0007440053,0.9932702,0.0002608146,0.0003379772,0.003075509],"study_design_scores_gemma":[0.0007125037,0.00007260753,0.0005889194,0.0002557646,0.00001184874,0.000008891246,0.000288165,0.000005604646,0.9950917,0.001486539,0.0009637338,0.000513721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929372,0.00190337,0.0000265758,0.0001974399,0.001696448,0.0008858558,0.00007048377,0.0003636742,0.001918943],"genre_scores_gemma":[0.9977277,0.001042191,0.000380887,0.0001006491,0.00009593864,0.0002388958,0.00001565147,0.0001260641,0.0002720546],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004790458,"threshold_uncertainty_score":0.9997821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01074024735163178,"score_gpt":0.2454352340001826,"score_spread":0.2346949866485508,"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."}}