{"id":"W2026710931","doi":"10.1016/j.electacta.2009.06.013","title":"The synthesis of Li(Ni1/3Co1/3Mn1/3)O2 using eutectic mixed lithium salt LiNO3–LiOH","year":2009,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Innovation Council","funders":"Henan Provincial Science and Technology Research Project; National Natural Science Foundation of China; Science and Technology Department of Henan Province; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Eutectic system; Molten salt; Lithium (medication); Thermogravimetric analysis; Materials science; Cyclic voltammetry; Electrochemistry; Crystallization; Differential scanning calorimetry; Scanning electron microscope; Melting point; Salt (chemistry); Lithium-ion battery; Chemical engineering; Inorganic chemistry; Analytical Chemistry (journal); Chemistry; Battery (electricity); Electrode; Metallurgy; Microstructure; Physical chemistry; Organic chemistry; Composite material","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":[0.0001016647,0.0002097151,0.0001684213,0.0001511177,0.0002682037,0.0002013571,0.0002142786,0.0002442712,0.001031223],"category_scores_gemma":[0.00009329572,0.0001429982,0.000100605,0.0002162368,0.0001018344,0.0003069034,0.0001819498,0.0001855835,0.0004026162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287822,"about_ca_system_score_gemma":0.0002859009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008951788,"about_ca_topic_score_gemma":0.003149482,"domain_scores_codex":[0.999946,0.000004363383,0.000005724159,0.00001525927,0.0000164205,0.00001216889],"domain_scores_gemma":[0.9999766,0.000002243515,0.000004818218,0.000004460996,0.000006347111,0.000005608661],"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":[0.00006883779,0.00001242959,0.0001029976,0.00008169717,0.000002147198,0.00005218964,0.00003041525,0.00009889178,0.9970573,0.0002080963,0.00007218392,0.002212821],"study_design_scores_gemma":[0.000009144434,0.00005047,0.0004495122,0.000002013632,0.000003485666,0.00005832738,0.00001384858,0.0003685479,0.9963545,0.00003869961,0.002647946,0.000003559523],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980988,0.0006325871,0.01078205,0.0001178419,0.00005106021,0.00008995468,0.0006753361,0.0001991408,0.006464029],"genre_scores_gemma":[0.9816033,0.0004151057,0.009885498,0.00004228011,0.000007648608,0.00005881555,0.0004758278,0.00005708623,0.00745455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001031223,"threshold_uncertainty_score":0.003449798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01008908668797671,"score_gpt":0.2339816713992927,"score_spread":0.223892584711316,"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."}}