{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005151659,0.0007008885,0.0007141602,0.0002827218,0.0005685178,0.0004360643,0.0006701685,0.0002215196,0.00001746445],"category_scores_gemma":[0.0003154672,0.0008270405,0.0001913391,0.0001433142,0.0001252742,0.001296814,0.0001255017,0.0002383009,0.0001155454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000406449,"about_ca_system_score_gemma":0.00006801099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000152671,"about_ca_topic_score_gemma":0.00006436234,"domain_scores_codex":[0.9962846,0.00007827123,0.001055244,0.000829068,0.00040674,0.001346093],"domain_scores_gemma":[0.9979358,0.0002862371,0.0005077681,0.0009809315,0.00007145619,0.0002178058],"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":[0.0001355398,0.00004426445,0.0008444557,0.0003657208,0.00008106897,0.00001466917,0.0004195032,0.0003820847,0.9679008,0.00003897012,0.004431447,0.02534149],"study_design_scores_gemma":[0.002230195,0.0001059519,0.001677975,0.0003891083,0.00007840502,0.00002176883,0.00004792419,0.0004287959,0.9930567,0.0001888873,0.000918304,0.0008560218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666733,0.000140435,0.0263542,0.002011702,0.002688028,0.001442916,0.0003150181,0.000358881,0.00001554444],"genre_scores_gemma":[0.9946967,0.0001365715,0.001336522,0.001566365,0.001177772,0.0005362583,0.0002340561,0.0003007536,0.00001497135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02802345,"threshold_uncertainty_score":0.999418,"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."}}