{"id":"W4226242558","doi":"10.2139/ssrn.4076698","title":"Improving the Stability of Lithium Aluminum Germanium Phosphate with Lithium Metal by Interface Engineering","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Semiconductor materials and interfaces","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia Hospital; National Research Council Canada; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Lithium (medication); Germanium; Lithium metal; Materials science; Aluminium; Interface (matter); Metal; Phosphate; Engineering physics; Inorganic chemistry; Metallurgy; Engineering; Chemistry; Composite material; Physical chemistry; Silicon; Psychology; Anode; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001293817,0.0001988063,0.0002541519,0.0000331753,0.0002475045,0.00007194555,0.0004484895,0.00001882618,0.0008777311],"category_scores_gemma":[0.000004430283,0.0001346671,0.0001114401,0.0001210325,0.00005535577,0.0002149657,0.0001637516,0.001355454,0.000002667901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836137,"about_ca_system_score_gemma":0.0004854409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005934553,"about_ca_topic_score_gemma":0.000009367242,"domain_scores_codex":[0.9979495,0.0001098621,0.0003570671,0.0002119895,0.0002703228,0.001101206],"domain_scores_gemma":[0.9992951,0.00004376311,0.000317251,0.0002312053,0.00006396341,0.00004867428],"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":[0.0001630528,0.0001400517,0.0018894,0.00001738448,0.000490255,4.865152e-7,0.0009824696,0.0003998849,0.9818148,0.01251587,0.0002078767,0.001378435],"study_design_scores_gemma":[0.0006286395,0.000745853,0.00007569788,0.00001425485,0.0001007522,0.00006755711,0.009859919,0.0004997732,0.9814878,0.001198664,0.005039124,0.0002820416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935985,0.001756718,0.003479006,0.0001452782,0.0004275122,0.0001563258,0.00004928642,0.00001778829,0.0003696124],"genre_scores_gemma":[0.9992368,0.00002118861,0.00002624168,0.00001488713,0.0001765484,0.00002193459,0.000007077373,0.0000322342,0.0004630628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01131721,"threshold_uncertainty_score":0.961054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005374965291599024,"score_gpt":0.1997115147645352,"score_spread":0.1943365494729361,"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."}}