{"id":"W2346969837","doi":"10.1149/ma2016-03/2/541","title":"Chemical Delithiation of Lithium Excess Cathode Materials: Potentiometric Control Using Organic Oxidants","year":2016,"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":"","funders":"","keywords":"Electrochemistry; Cathode; Lithium (medication); Potentiometric titration; Battery (electricity); Chemical reaction; Chemistry; Redox; Inorganic chemistry; Ion; Stoichiometry; Materials science; Electrode; Organic chemistry; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007145556,0.0002056862,0.0003680008,0.0002599807,0.00004087616,0.00004032487,0.0001978342,0.0001321645,0.0001581119],"category_scores_gemma":[0.000701147,0.0001741248,0.00002578621,0.0002984955,0.00003826595,0.0002657364,0.00004136015,0.00005974476,0.00004306499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001731174,"about_ca_system_score_gemma":0.00001791386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001833019,"about_ca_topic_score_gemma":3.77901e-7,"domain_scores_codex":[0.9983038,0.00005735844,0.0007709527,0.000228263,0.0002768356,0.000362741],"domain_scores_gemma":[0.999033,0.0002363044,0.0002939188,0.0002628557,0.0001085982,0.00006535861],"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":[0.000017383,0.00002504231,0.0002461652,0.0001223381,0.00004159895,0.000003906874,0.00004777238,0.008881801,0.9902093,0.000002054278,0.00002680662,0.0003758129],"study_design_scores_gemma":[0.0005919823,0.000008858917,0.004448945,0.0003131996,0.00005452299,0.000008587013,0.00001055766,0.0002290588,0.9939897,0.00008806734,0.00004981705,0.0002066996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946202,0.00008573447,0.002825527,0.00002372349,0.001303355,0.0001678823,0.00008225387,0.0001880931,0.0007032194],"genre_scores_gemma":[0.9949259,0.00001643365,0.004717393,0.00002143612,0.0002144438,0.000008153086,0.000008073983,0.0000661981,0.00002195561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008652742,"threshold_uncertainty_score":0.7100604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766461728417313,"score_gpt":0.248767315409639,"score_spread":0.2311026981254659,"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."}}