{"id":"W4311196156","doi":"10.1039/d2ya00278g","title":"Atomic-scale insight into the lattice volume plunge of Li<sub><i>x</i></sub>CoO<sub>2</sub> upon deep delithiation","year":2022,"lang":"en","type":"article","venue":"Energy Advances","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Science and Technology Major Project; Canada Excellence Research Chairs, Government of Canada; Tsinghua University; National Natural Science Foundation of China","keywords":"Volume (thermodynamics); Atomic units; Lattice (music); Materials science; Scale (ratio); Shrinkage; Layer (electronics); Crystallography; Thermodynamics; Condensed matter physics; Nanotechnology; Chemistry; Composite material; Physics","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":[0.00003642202,0.0001385698,0.00009855377,0.0002030168,0.0002292174,0.0002386459,0.0002890214,0.0002580076,0.004303248],"category_scores_gemma":[0.0001792823,0.0001464108,0.00008062209,0.0001811101,0.0004102552,0.0003896,0.000192682,0.0005628518,0.0002094425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000242295,"about_ca_system_score_gemma":0.0001361599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002079516,"about_ca_topic_score_gemma":0.003364081,"domain_scores_codex":[0.9999745,0.000001112857,8.011428e-7,0.000005392448,0.00001117006,0.000006970484],"domain_scores_gemma":[0.9999357,0.00001916267,0.00001813495,0.000009121634,0.00001048176,0.00000733378],"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":[0.0003183603,0.00004263714,0.006826674,0.0001437602,0.00001589161,0.0004184607,0.000285859,0.008261111,0.9698892,0.006341052,0.0005957631,0.006861387],"study_design_scores_gemma":[0.00009006289,0.0003528594,0.2091123,0.00003137455,0.00006477961,0.0009961788,0.00147886,0.1150631,0.6523243,0.008910341,0.01147538,0.0001004836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858872,0.0003746674,0.004026612,0.0002168752,0.00002617673,0.000006929344,0.000443019,0.0002591869,0.0087592],"genre_scores_gemma":[0.998606,0.00008334678,0.0007302004,0.00001627197,0.000002297995,0.000003386533,0.0001094935,0.00001844433,0.0004305443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004303248,"threshold_uncertainty_score":0.01439577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004589726391608213,"score_gpt":0.1983917658812497,"score_spread":0.1938020394896415,"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."}}