{"id":"W4311258142","doi":"10.1002/celc.202201021","title":"Synthesis of LiNi<sub>0.6</sub>Co<sub>0.2</sub>Mn<sub>0.2</sub>O<sub>2</sub> Using Supercritical Carbon Dioxide as a Cathode Material for Lithium‐Ion Batteries","year":2022,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Supercritical fluid; Coprecipitation; Lithium (medication); Carbonation; Electrochemistry; Manganese; Battery (electricity); Materials science; Supercritical carbon dioxide; Inorganic chemistry; Lithium-ion battery; Transition metal; Reagent; Stoichiometry; Cathode; Carbon dioxide; Chemistry; Electrode; Catalysis; Physical chemistry; Thermodynamics","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":[0.0001170251,0.0003777926,0.0002950848,0.0004602296,0.0002595613,0.0002998252,0.0003962748,0.0003243919,0.001168159],"category_scores_gemma":[0.0002061231,0.0002000898,0.0001779804,0.0003899755,0.0001287747,0.0003297293,0.0002367657,0.0002539571,0.0006293839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003915543,"about_ca_system_score_gemma":0.0006403268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001153389,"about_ca_topic_score_gemma":0.004298592,"domain_scores_codex":[0.9999144,0.00000598935,0.000008932328,0.0000180778,0.00003858691,0.00001393344],"domain_scores_gemma":[0.9999057,0.000009406182,0.00001969701,0.000009896998,0.00003834347,0.00001698192],"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":[0.00002674262,0.00001096322,0.00009199823,0.0001365372,0.000004541251,0.00005813993,0.00002609096,0.0001727056,0.9959049,0.0002026815,0.00008458438,0.003280293],"study_design_scores_gemma":[0.000006464635,0.00004793983,0.0004355378,0.000005645415,0.000008175221,0.000061904,0.00001276217,0.0008263499,0.9953915,0.00003677014,0.003161064,0.000005938554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9471183,0.002517018,0.03283336,0.0001742605,0.0001335196,0.0003211214,0.0008450005,0.0007632604,0.01529404],"genre_scores_gemma":[0.9623511,0.001536934,0.02937835,0.00005151491,0.00002252942,0.000145992,0.0008319233,0.0001607082,0.005520907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001168159,"threshold_uncertainty_score":0.003907919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361775138757419,"score_gpt":0.2451374378271149,"score_spread":0.2315196864395408,"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."}}