{"id":"W2119298575","doi":"10.1149/1.3543569","title":"High-Precision Differential Capacity Analysis of LiMn<sub>2</sub>O<sub>4</sub>/graphite Cells","year":2011,"lang":"en","type":"article","venue":"Electrochemical and Solid-State Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Graphite; Materials science; Coulometry; Differential (mechanical device); Electrode; Heat capacity; Fade; Slippage; Capacity loss; Analytical Chemistry (journal); Thermodynamics; Composite material; Electrochemistry; Chemistry; Computer science; Physics; Chromatography; Physical chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009911475,0.0004046947,0.0006843155,0.0007190043,0.00008050229,0.0000302697,0.0004226097,0.0002300581,0.0000146934],"category_scores_gemma":[0.00003802009,0.0003836298,0.0002561546,0.00122799,0.0003450686,0.0001715999,0.0001826416,0.0007666153,0.000009984626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100991,"about_ca_system_score_gemma":0.000008402973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377468,"about_ca_topic_score_gemma":0.00001694912,"domain_scores_codex":[0.9975828,0.00005054755,0.0005076942,0.0005408054,0.0004126076,0.000905547],"domain_scores_gemma":[0.9990449,0.0001390643,0.00009560486,0.000497521,0.00006481251,0.0001580756],"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":[0.00009368704,0.00005654216,0.000229056,0.00005893761,0.0005923089,0.00001601356,0.0001885192,0.0003323959,0.9926621,0.00001448497,0.0003959469,0.005360047],"study_design_scores_gemma":[0.0003532658,0.00008560361,0.001707406,0.00002126753,0.0001835456,0.000003318954,0.00001296948,0.00316333,0.9933322,0.000711348,0.00002630826,0.0003994166],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9587469,0.00006570065,0.0403906,0.0001103869,0.00008509684,0.0001908757,0.0000471817,0.0003472706,0.00001597625],"genre_scores_gemma":[0.9979154,0.0008891448,0.0008567524,0.0001541161,0.00004060683,0.00003302002,0.00005435803,0.00005488288,0.000001659753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03953385,"threshold_uncertainty_score":0.9998615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009747189065115965,"score_gpt":0.2047309328092556,"score_spread":0.1949837437441396,"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."}}