{"id":"W4311098089","doi":"10.1002/smsc.202200032","title":"Waxberry‐Shaped Ordered Mesoporous P‐TiO<sub>2−<i>x</i></sub> Microspheres as High‐Performance Cathodes for Lithium–Sulfur Batteries","year":2022,"lang":"en","type":"article","venue":"Small Science","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Higher Education Discipline Innovation Project; Guangdong Science and Technology Department; Natural Science Foundation of Hebei Province; Natural Science Foundation of Guangdong Province","keywords":"Polysulfide; Mesoporous material; Sulfur; Cathode; Materials science; Lithium (medication); Dissolution; Chemical engineering; Electrode; Conductivity; Impurity; Nanotechnology; Catalysis; Chemistry; Electrolyte","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000847732,0.0002761426,0.0001815619,0.0001548598,0.0001200434,0.0002494619,0.0001924333,0.0002588938,0.0007824837],"category_scores_gemma":[0.00008977842,0.0001509465,0.0002239039,0.0001380257,0.0002049008,0.0003368198,0.0001634053,0.0002214069,0.0004014648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000181684,"about_ca_system_score_gemma":0.000154748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003608222,"about_ca_topic_score_gemma":0.0007958479,"domain_scores_codex":[0.999958,0.000004567515,0.000003310087,0.00001099301,0.00001363293,0.000009506518],"domain_scores_gemma":[0.9999441,0.000007282517,0.00001809604,0.000005361773,0.000009722981,0.00001532674],"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":[0.00003490622,0.000006575851,0.00007807523,0.00003512163,0.000004921254,0.00005256802,0.00001172027,0.0001577029,0.9979731,0.0001627473,0.00005726451,0.001425413],"study_design_scores_gemma":[0.0000131277,0.0001458195,0.0008413393,0.000002163268,0.000008971183,0.00008591281,0.00001512035,0.001401733,0.9961445,0.00003998991,0.001295067,0.000006095609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875938,0.001521619,0.008189395,0.00008112636,0.00004082022,0.00004420922,0.0001710847,0.0002511238,0.002106768],"genre_scores_gemma":[0.9912772,0.0007114615,0.006156194,0.00003101377,0.0000158637,0.00002295114,0.0001029642,0.00003108557,0.001651314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007824837,"threshold_uncertainty_score":0.002617717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047697376199066,"score_gpt":0.2060985562534702,"score_spread":0.1956215824914796,"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."}}