{"id":"W2159017520","doi":"10.1149/1.1836119","title":"Chemical Overcharge and Overdischarge Protection for Lithium-Ion Batteries","year":2004,"lang":"en","type":"article","venue":"Electrochemical and Solid-State Letters","topic":"Advancements in Battery Materials","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Overcharge; Lithium (medication); Materials science; Electrolyte; Consumer market; Electrochemistry; Ion; Redox; Electrode; Battery (electricity); Chemistry; Business; Metallurgy; Organic chemistry; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006986471,0.0002272466,0.0002325102,0.00004145303,0.00007452875,0.00005948681,0.00006465326,0.00007823372,0.00001311787],"category_scores_gemma":[0.00002124736,0.0002220779,0.00002898406,0.00005382228,0.00008640424,0.000215043,0.00003972667,0.0001599749,0.000004722578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009446928,"about_ca_system_score_gemma":0.000005210169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002455636,"about_ca_topic_score_gemma":3.969418e-7,"domain_scores_codex":[0.9989319,0.000008907553,0.0002299356,0.0002855072,0.0001054807,0.0004382662],"domain_scores_gemma":[0.9997351,0.00002662331,0.00003169954,0.0001070048,0.00001437258,0.00008520352],"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":[0.00007435271,0.00001252093,0.00001283529,0.0001712583,0.00002641443,0.000001549495,0.0002138395,0.00003957332,0.9985666,0.00008927538,0.0003836944,0.0004081265],"study_design_scores_gemma":[0.0007997811,0.00003923137,0.00005484077,0.00003607857,0.00001280462,0.00002529459,0.000006693527,0.0001087156,0.9928965,0.003875774,0.001868017,0.0002762897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9486907,0.00008921431,0.04851728,0.0019483,0.0001466557,0.0003821238,0.00002518805,0.0001814237,0.00001908556],"genre_scores_gemma":[0.9958838,0.0000792439,0.001963694,0.00152374,0.0002423393,0.0001889285,0.00004293103,0.00005031476,0.00002498385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04719309,"threshold_uncertainty_score":0.9056074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751097623091456,"score_gpt":0.2230947482435133,"score_spread":0.2153436506204219,"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."}}