{"id":"W2014202794","doi":"10.1103/physrevb.83.094302","title":"Li self-diffusion in garnet-type Li<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow/><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>La<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow/><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>Zr<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>O<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow/><mml:mrow><mml:mn>12</mml:mn></mml:mrow></mml:msub></mml:mrow></mml:math>as probed directly by diffusion-induced<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mmultiscripts><mml:mi mathvariant=\"normal\">Li</mml:mi><mml:mprescripts/><mml:none/><mml:mrow><mml:mn>7</mml:mn></mml:mrow></mml:mmultiscripts></mml:math>spin-lattice relaxation NMR spectroscopy","year":2011,"lang":"lv","type":"article","venue":"Physical Review B","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Calgary","funders":"Deutsche Forschungsgemeinschaft","keywords":"Activation energy; Arrhenius equation; Spin diffusion; Atmospheric temperature range; Materials science; Tetragonal crystal system; Nuclear magnetic resonance; Relaxation (psychology); Ionic bonding; Physics; Analytical Chemistry (journal); Diffusion; Condensed matter physics; Crystallography; Physical chemistry; Thermodynamics; Crystal structure; Chemistry; Ion","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":["metaresearch","metaepi_narrow","metaepi_broad","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.01135015,0.007279569,0.002928449,0.003660474,0.008422701,0.009269792,0.01424083,0.01392882,0.6129267],"category_scores_gemma":[0.01165448,0.01369966,0.01139078,0.007723298,0.00938185,0.01121933,0.01425734,0.01218171,0.01674879],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300905,"about_ca_system_score_gemma":0.009170819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008737738,"about_ca_topic_score_gemma":0.008358045,"domain_scores_codex":[0.9437359,0.003698343,0.01260423,0.01128116,0.01417744,0.01450292],"domain_scores_gemma":[0.9538776,0.008615765,0.01477044,0.0139398,0.001389973,0.007406379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008039612,0.003039015,0.00004150278,0.009554194,0.008065036,0.008376611,0.005698554,0.004074243,0.01846967,0.6121916,0.3190464,0.00340356],"study_design_scores_gemma":[0.007586759,0.006262691,0.0002957752,0.009765614,0.009233143,0.007494865,0.004357518,0.2620487,0.6661262,0.0001416891,0.01784681,0.008840255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5372701,0.007361033,0.002504729,0.001822458,0.01208683,0.0003833267,0.003498931,0.001925157,0.4331475],"genre_scores_gemma":[0.9150092,0.01720112,0.01111865,0.006552172,0.01105944,0.01268068,0.01691089,0.007595051,0.001872795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6476566,"threshold_uncertainty_score":0.9985099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046525613462715,"score_gpt":0.2568435429136676,"score_spread":0.2363782867790404,"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."}}