{"id":"W3016668295","doi":"10.1039/d0ta02805c","title":"Impact of the Li substructure on the diffusion pathways in alpha and beta Li<sub>3</sub>PS<sub>4</sub>: an <i>in situ</i> high temperature neutron diffraction study","year":2020,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neutron diffraction; Substructure; Lithium (medication); Ion; Diffusion; Diffraction; Crystallography; X-ray crystallography; Materials science; Chemistry; Physics; Crystal structure; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008405862,0.0001619482,0.0001306807,0.0001068677,0.0002136892,0.0002357192,0.0002054215,0.0001507279,0.002480787],"category_scores_gemma":[0.0002338425,0.0001699416,0.00008911687,0.0001591432,0.0003181475,0.0002819343,0.0001217673,0.0002125507,0.0001364361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003740323,"about_ca_system_score_gemma":0.0002763246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004221569,"about_ca_topic_score_gemma":0.00648303,"domain_scores_codex":[0.9999602,0.000003821503,0.000002136077,0.00001080262,0.00001293997,0.00001010988],"domain_scores_gemma":[0.9999175,0.00002765892,0.00002139684,0.000006879692,0.00001856176,0.000007888462],"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":[0.0006358586,0.0000214313,0.0039389,0.0001097608,0.00001372584,0.0001513249,0.0001500196,0.002601448,0.9894304,0.0006495721,0.0001270141,0.002170485],"study_design_scores_gemma":[0.0000428377,0.0003282635,0.02372119,0.00001893006,0.00003810151,0.0002827423,0.0003433688,0.008012931,0.9648326,0.0002911394,0.002072584,0.00001529519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976174,0.0001386263,0.000311497,0.00003185446,0.000003607482,0.000002231659,0.0001224805,0.000009523884,0.001762868],"genre_scores_gemma":[0.9990258,0.00009727175,0.0002237849,0.000007590302,7.72099e-7,0.00000247803,0.0001168166,0.000007742207,0.0005177988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004221569,"threshold_uncertainty_score":0.008393943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009400680112134633,"score_gpt":0.2192838107320606,"score_spread":0.2098831306199259,"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."}}