{"id":"W2770332761","doi":"10.1021/acs.nanolett.7b03119","title":"New Avenue for Limiting Degradation in NanoLi<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub> for Ultrafast-Charge Lithium-Ion Batteries: Hybrid Polymer–Inorganic Particles","year":2017,"lang":"en","type":"article","venue":"Nano Letters","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Sony Electronics; Hydro-Québec; Université Laval","keywords":"Limiting; Lithium (medication); Ion; Degradation (telecommunications); Materials science; Charge (physics); Polymer; Ultrashort pulse; Chemical physics; Inorganic chemistry; Nanotechnology; Chemical engineering; Chemistry; Physics; Organic chemistry; Computer science; Optics","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":[0.0001019256,0.0002977424,0.0001705243,0.0001377008,0.0001175549,0.000320069,0.0003165359,0.0003841851,0.001114496],"category_scores_gemma":[0.0001094393,0.0001508033,0.0001898359,0.00008837697,0.0002810013,0.0006350133,0.000236707,0.0003859297,0.0003371019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002309198,"about_ca_system_score_gemma":0.000161769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001417014,"about_ca_topic_score_gemma":0.0003743146,"domain_scores_codex":[0.9999477,0.000004015337,0.00000361118,0.00001430842,0.00002069551,0.000009651475],"domain_scores_gemma":[0.9999279,0.00001364944,0.00002580365,0.000008568341,0.00001354227,0.00001055044],"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":[0.00003039981,0.00003638714,0.0000988033,0.0000874692,0.000004530869,0.00002309308,0.000021089,0.0001522432,0.9942424,0.0004786613,0.00007286521,0.004752141],"study_design_scores_gemma":[0.000009716994,0.0001138181,0.0002861604,0.000003342645,0.000007080308,0.00006269968,0.00001224346,0.001011618,0.9954969,0.000119058,0.002872726,0.000004592531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.929239,0.007012005,0.05300422,0.0005212329,0.0001373546,0.00009620736,0.0001282017,0.0006263011,0.00923541],"genre_scores_gemma":[0.9773801,0.001614343,0.01625894,0.00017105,0.00003009519,0.00007228561,0.00008366106,0.00004379655,0.004345782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001114496,"threshold_uncertainty_score":0.00372833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666089469666797,"score_gpt":0.2290131897058754,"score_spread":0.2123522950092074,"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."}}