{"id":"W2602227487","doi":"10.1149/ma2009-02/7/443","title":"Impact of Co-precipitation Methods on the Properties of LiNi<sub>2/3</sub>Mn<sub>1/3</sub>O<sub>2</sub>","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Precipitation; Environmental science; Materials science; Meteorology; Geography","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":[0.0003646726,0.0003611413,0.0004325824,0.0002392692,0.0002772479,0.0004865493,0.0005234513,0.0003724757,0.002798158],"category_scores_gemma":[0.001471189,0.0001916174,0.0002037791,0.0003451323,0.0002071202,0.0004843807,0.0004902677,0.000529255,0.0009537089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653294,"about_ca_system_score_gemma":0.0002541275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154412,"about_ca_topic_score_gemma":0.002748112,"domain_scores_codex":[0.9996333,0.00004467116,0.00003021356,0.00009321125,0.0001474623,0.00005111565],"domain_scores_gemma":[0.9994247,0.0002212977,0.00007841977,0.00008235543,0.000166236,0.00002702398],"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":[0.002027274,0.0002390845,0.001665366,0.0007184058,0.000106482,0.00009866463,0.0001380568,0.001636611,0.9641981,0.00035944,0.001871885,0.02694082],"study_design_scores_gemma":[0.00005419803,0.0002745327,0.001591716,0.00001492128,0.00004095723,0.00006771117,0.00004688977,0.002950804,0.9903957,0.00004784232,0.00450448,0.0000102482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969694,0.005559701,0.01089269,0.0004112567,0.0006915528,0.0001393515,0.0007062356,0.0005062877,0.01139899],"genre_scores_gemma":[0.9843674,0.001569973,0.00754597,0.0001971223,0.00006392023,0.000110796,0.0003435173,0.0003972203,0.005404016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002798158,"threshold_uncertainty_score":0.00936079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03167313211422226,"score_gpt":0.3053218018559132,"score_spread":0.2736486697416909,"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."}}