{"id":"W1579915955","doi":"10.1149/2.0321509jes","title":"Effect of Excess Li on the Structural and Electrical Properties of Garnet-Type Li<sub>6</sub>La<sub>3</sub>Ta<sub>1.5</sub>Y<sub>0.5</sub>O<sub>12</sub>","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Advanced Research Projects Agency; Advanced Research Projects Agency - Energy; U.S. Department of Energy","keywords":"Materials science; Scanning electron microscope; Microstructure; Analytical Chemistry (journal); Electrical resistivity and conductivity; Ionic conductivity; Powder diffraction; Raman spectroscopy; Lithium (medication); Grain boundary; Ceramic; Sintering; Conductivity; Oxide; Fast ion conductor; Mineralogy; Phase (matter); Electrolyte; Crystallography; Metallurgy; Chemistry; Composite material; Physical chemistry; Optics","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001432724,0.001109048,0.001721134,0.0001720937,0.0003281209,0.0001832436,0.001354093,0.0009906513,0.000002833198],"category_scores_gemma":[0.001093689,0.0007017675,0.0009459841,0.0009381101,0.0008344564,0.0005010382,0.0004815265,0.002678179,0.00001018572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006571663,"about_ca_system_score_gemma":0.0002304235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002541914,"about_ca_topic_score_gemma":0.000005541194,"domain_scores_codex":[0.9944682,0.0004572376,0.001593239,0.0006870453,0.001335796,0.001458493],"domain_scores_gemma":[0.9964266,0.0007813689,0.001086869,0.0008451387,0.0004996696,0.0003603364],"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":[0.001001275,0.0001207533,0.0002025478,0.0004366967,0.0006113763,0.00001215072,0.0003858472,0.0005069387,0.9850988,0.00006011537,0.001740523,0.009822984],"study_design_scores_gemma":[0.00170741,0.001624213,0.0008659314,0.0004904761,0.000366691,0.0003187699,0.0001133952,0.001770253,0.9899219,0.001968819,0.00007291928,0.0007792513],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943213,0.002859063,0.000588377,0.0005346682,0.0006146309,0.0007481396,0.00001902107,0.0002802464,0.00003448252],"genre_scores_gemma":[0.9954427,0.003312409,0.0001585586,0.0001767709,0.0006593731,0.00004648817,0.00001025374,0.0001919839,0.000001495171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009043733,"threshold_uncertainty_score":0.9996227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00871161753735996,"score_gpt":0.2036903225118007,"score_spread":0.1949787049744408,"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."}}