{"id":"W2902578615","doi":"10.1021/acs.chemmater.8b03827","title":"Structural, Electrochemical, and Thermal Properties of Nickel-Rich LiNi<sub><i>x</i></sub>Mn<sub><i>y</i></sub>Co<sub><i>z</i></sub>O<sub>2</sub> Materials","year":2018,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Faculty of Graduate Studies, Dalhousie University; China Scholarship Council","keywords":"Coprecipitation; Materials science; Electrochemistry; Electrolyte; Lithium (medication); Nickel; Transition metal; Sintering; Thermal stability; Electrode; Analytical Chemistry (journal); Calorimetry; Chemical engineering; Inorganic chemistry; Metallurgy; Physical chemistry; Chemistry; Catalysis","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":[0.00007581687,0.0001728156,0.0001210583,0.0002177395,0.0001211228,0.00021673,0.0002701179,0.0001847423,0.0009267437],"category_scores_gemma":[0.000285328,0.0001586972,0.0001051343,0.000240869,0.0001687623,0.0002695437,0.0001324476,0.0001897824,0.0001670652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775296,"about_ca_system_score_gemma":0.0001056586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001270049,"about_ca_topic_score_gemma":0.002555762,"domain_scores_codex":[0.9999195,0.000005100563,0.000005816943,0.00001933344,0.00003386946,0.00001633943],"domain_scores_gemma":[0.9999108,0.00001021342,0.000025294,0.000007098625,0.00003175932,0.00001482581],"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":[0.0002328473,0.00001989295,0.001440157,0.0001198594,0.00001002366,0.00006309223,0.00005914025,0.0003991535,0.9949914,0.0002040369,0.0001845728,0.002275903],"study_design_scores_gemma":[0.00001546305,0.0001654107,0.01366178,0.000006706939,0.00001947267,0.0001372939,0.0001377037,0.003864505,0.9805704,0.0000490916,0.001359182,0.00001298377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983945,0.0003188458,0.0002159394,0.00002802576,0.000006136875,0.000004300128,0.0001948664,0.00001597119,0.0008212446],"genre_scores_gemma":[0.998373,0.0001559282,0.0002966511,0.0000134102,0.000003600974,0.000009127028,0.0002132604,0.000008798035,0.0009263445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001270049,"threshold_uncertainty_score":0.003100216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070468291415518,"score_gpt":0.2137076819253589,"score_spread":0.2030029990112037,"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."}}