{"id":"W2853439768","doi":"10.1038/s41427-018-0059-9","title":"Tuning anisotropic ion transport in mesocrystalline lithium orthosilicate nanostructures with preferentially exposed facets","year":2018,"lang":"en","type":"article","venue":"NPG Asia Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"State Key Laboratory of Powder Metallurgy; Central South University; National Natural Science Foundation of China","keywords":"Materials science; Cathode; Lithium (medication); Ion; Electrode; Orthosilicate; Battery (electricity); Nanotechnology; Chemical engineering; Diffusion; Physical chemistry; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0000655211,0.0001905336,0.0001347047,0.0001041352,0.0001050573,0.0003716725,0.0002325466,0.0001593633,0.0003560696],"category_scores_gemma":[0.0001361909,0.000183344,0.0001283131,0.0001049807,0.000157182,0.0001818511,0.0001548025,0.0001509236,0.0001659093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003663574,"about_ca_system_score_gemma":0.0001959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001081522,"about_ca_topic_score_gemma":0.001989168,"domain_scores_codex":[0.9999532,0.000002946841,0.000004194746,0.00001339808,0.00001400509,0.0000123256],"domain_scores_gemma":[0.9999245,0.00001326517,0.00002682197,0.00000863,0.00001582176,0.00001089904],"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":[0.00003392946,0.000007591921,0.0002033344,0.00002564109,0.000003269457,0.00003149093,0.00002572628,0.0002691987,0.9984787,0.0001330086,0.0000344911,0.0007536738],"study_design_scores_gemma":[0.00002982747,0.0001185779,0.002004451,0.000004369254,0.000009150148,0.00005722668,0.00003790317,0.008692188,0.9880815,0.0000505251,0.0009061585,0.000008209965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982723,0.000133566,0.0005774727,0.0000202925,0.00000746991,0.000004500043,0.00004787811,0.00003288504,0.0009035773],"genre_scores_gemma":[0.9985158,0.0001255315,0.0008999642,0.000008248083,0.000003173981,0.00000827945,0.00004855612,0.00001778371,0.0003725974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001081522,"threshold_uncertainty_score":0.002658129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01289935829222652,"score_gpt":0.2265876016791838,"score_spread":0.2136882433869573,"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."}}