{"id":"W4310166688","doi":"10.1093/nsr/nwac272","title":"Effective transport network driven by tortuosity gradient enables high-electrochem-active solid-state batteries","year":2022,"lang":"en","type":"article","venue":"National Science Review","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Science Fund for Distinguished Young Scholars of Chongqing; Fundamental Research Funds for the Central Universities; Harbin Institute of Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; University of Saskatchewan; Canadian Light Source","keywords":"Tortuosity; Electrode; Materials science; Percolation (cognitive psychology); Electrochemistry; Ion transporter; Ion; Diffusion; Solid-state; Nanotechnology; Chemical physics; Composite material; Chemistry; Porosity; Thermodynamics; Physics","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":[0.00006498757,0.0001689099,0.0001009971,0.0001620814,0.0001286645,0.0004343942,0.0001706592,0.0002081001,0.0007854474],"category_scores_gemma":[0.0001265179,0.0001462648,0.00006907913,0.0001596525,0.0002139901,0.000561361,0.0002614083,0.0002351253,0.000175724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002499669,"about_ca_system_score_gemma":0.0001220281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814522,"about_ca_topic_score_gemma":0.000571812,"domain_scores_codex":[0.9999676,0.000003046076,0.000002763851,0.000008641473,0.00001214216,0.000005853987],"domain_scores_gemma":[0.9999571,0.00000893283,0.0000135258,0.000004836211,0.000008426373,0.000007234136],"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":[0.00002300898,0.000009712578,0.0002201062,0.00008898846,0.000003868628,0.0000596171,0.0000269747,0.001024668,0.9893084,0.003655379,0.000144256,0.005435027],"study_design_scores_gemma":[0.00001315226,0.00009763923,0.00257392,0.00001107451,0.00001352616,0.000186243,0.00004332954,0.02060989,0.9642886,0.001139671,0.01100797,0.00001495408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703828,0.002070104,0.02139612,0.0002248723,0.00004425934,0.00002005248,0.0001676207,0.0002707221,0.005423347],"genre_scores_gemma":[0.9945978,0.0007697923,0.003443751,0.00002175613,0.000008021737,0.000009789999,0.00006651849,0.00001558444,0.001066948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007854474,"threshold_uncertainty_score":0.002627552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007990781889098663,"score_gpt":0.2619995329547368,"score_spread":0.2540087510656381,"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."}}