{"id":"W2052680184","doi":"10.1557/proc-0973-bb04-05","title":"Electrochemical Features of Li-Ni-Mn-Co Oxides","year":2006,"lang":"en","type":"article","venue":"MRS Proceedings","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Materials science; Electrochemistry; Gravimetric analysis; Lithium (medication); Cathode; Aqueous solution; Chemical engineering; Electrode; Analytical Chemistry (journal); Inorganic chemistry; Physical chemistry; Chemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006479917,0.0001505921,0.0001920041,0.00006326269,0.00002345872,0.00002893758,0.0001578252,0.00007780006,0.0000686228],"category_scores_gemma":[0.00002060742,0.0001509257,0.00002440875,0.0001097326,0.00004179762,0.0001604277,0.00002352917,0.0000945754,0.00001805561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005177038,"about_ca_system_score_gemma":0.000003870407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003764469,"about_ca_topic_score_gemma":3.295337e-7,"domain_scores_codex":[0.9991941,0.000001215746,0.0002311442,0.0001469309,0.0001562728,0.0002703464],"domain_scores_gemma":[0.9998053,0.00001140189,0.00004575646,0.00006624764,0.00004535939,0.00002594327],"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":[0.000009953704,0.00001461787,0.0006397731,0.0001322122,0.00001137203,5.10677e-7,0.00004850491,0.00001791698,0.9713181,0.001080546,0.02659626,0.0001302594],"study_design_scores_gemma":[0.000149787,0.00002265297,0.001623892,0.00003315091,0.00000984366,0.000008922263,0.00001887627,0.00001961253,0.9910524,0.002381637,0.004523261,0.0001559707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806523,0.0002100045,0.0003881894,0.00004662087,0.0001572104,0.0001163124,0.000007505053,0.0003046232,0.01811728],"genre_scores_gemma":[0.9957297,0.00001310263,0.003380648,0.00004701631,0.0002312777,0.00002412575,0.00001224078,0.00004164887,0.0005202614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02207299,"threshold_uncertainty_score":0.615457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005140259906391955,"score_gpt":0.2195519228203238,"score_spread":0.2144116629139318,"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."}}