{"id":"W3210622388","doi":"10.1002/adma.202107836","title":"MIL‐96‐Al for Li–S Batteries: Shape or Size?","year":2021,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Advanced Battery Materials and Technologies","field":"Engineering","cited_by":349,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Saskatchewan; Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems; National Research Council; Canadian Institutes of Health Research; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; University of Saskatchewan","keywords":"Materials science; Hexagonal crystal system; Particle size; Bipyramid; Adsorption; Crystal (programming language); Lithium (medication); Particle (ecology); Sulfur; Density functional theory; Chemical engineering; Nanotechnology; Chemical physics; Crystallography; Crystal structure; Computational chemistry; Physical chemistry; Chemistry; Metallurgy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407982,0.0002502555,0.0001468375,0.0001765351,0.0001284519,0.0004316918,0.0003015846,0.0002757887,0.001199012],"category_scores_gemma":[0.0001970882,0.000118372,0.0002162789,0.0001664243,0.0001967105,0.0005591473,0.0002360953,0.0003114277,0.0003871628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002547685,"about_ca_system_score_gemma":0.0001076233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002773014,"about_ca_topic_score_gemma":0.0007422302,"domain_scores_codex":[0.9999373,0.000007560323,0.000003782468,0.00001251439,0.00002298143,0.00001576072],"domain_scores_gemma":[0.9999608,0.000009366471,0.00001183045,0.000005936818,0.000006496807,0.000005563382],"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":[0.000220049,0.00005098303,0.0007550154,0.0003739877,0.00002218928,0.00009946424,0.00006007045,0.001001235,0.9635131,0.003194993,0.0006363307,0.03007268],"study_design_scores_gemma":[0.00001353939,0.0001775084,0.0008777331,0.00001796762,0.00002204597,0.0001263216,0.00006747148,0.003132461,0.9862726,0.0003378709,0.00894054,0.0000139975],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723895,0.008800303,0.0082251,0.0006690107,0.0001326222,0.0000474062,0.0003251102,0.0002630035,0.00914793],"genre_scores_gemma":[0.9930993,0.002066714,0.00311464,0.00006138586,0.00002100326,0.00002504156,0.0001117022,0.00001748491,0.001482659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001199012,"threshold_uncertainty_score":0.004011095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386812834227741,"score_gpt":0.2508619968067811,"score_spread":0.2369938684645037,"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."}}