{"id":"W4389878149","doi":"10.1021/acsaem.3c02040","title":"Critical Investigation of Metal–Organic-Frameworks to Improve the Silicon Anode of Lithium-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"ACS Applied Energy Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"Office of Energy Research and Development","keywords":"Anode; Lithium metal; Lithium (medication); Silicon; Materials science; Metal-organic framework; Nanotechnology; Ion; Metal; Nanoarchitectures for lithium-ion batteries; Inorganic chemistry; Engineering physics; Optoelectronics; Chemistry; Metallurgy; Electrode; Engineering; Organic chemistry","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":[0.0001682523,0.0002812304,0.0001005699,0.0001972394,0.000146102,0.0003549471,0.0002003051,0.0002627106,0.0009486678],"category_scores_gemma":[0.0001529393,0.0001003779,0.0001309019,0.0001298311,0.0001181657,0.0003048068,0.00010889,0.0002065895,0.000152333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002927143,"about_ca_system_score_gemma":0.0001432194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008402729,"about_ca_topic_score_gemma":0.00236045,"domain_scores_codex":[0.9999396,0.000005515303,0.000002381609,0.000007545387,0.00002619047,0.00001877992],"domain_scores_gemma":[0.9999679,0.000006720022,0.00000488996,0.000002109328,0.00001298183,0.000005311905],"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":[0.00004460389,0.00004287403,0.0001351483,0.00007938751,0.000006345899,0.00004938147,0.00001666039,0.0002940456,0.9908971,0.0004234493,0.000145786,0.007865118],"study_design_scores_gemma":[0.000002736236,0.0001028256,0.0005573547,0.000004466316,0.000005297921,0.00004300422,0.00001313993,0.001246598,0.995587,0.00003037321,0.00240338,0.000003815273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983767,0.006676307,0.003777757,0.0001977237,0.00002994671,0.00005356835,0.0001636447,0.0001180776,0.005216049],"genre_scores_gemma":[0.9919727,0.001971344,0.004150561,0.00003328279,0.000006843382,0.000009726649,0.00008565596,0.00001157258,0.001758346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009486678,"threshold_uncertainty_score":0.00317359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084749682968763,"score_gpt":0.2362068944696171,"score_spread":0.2253593976399294,"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."}}