{"id":"W4416110345","doi":"10.1016/j.est.2025.119378","title":"A weighted ensemble approach for interpretable state of health estimation of lithium-ion batteries based on generalized additive models","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Western University","keywords":"Additive model; State (computer science); Estimation; Generalized additive model; State of health","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":[0.0003583502,0.0001411734,0.0004828713,0.0005741374,0.00003590449,0.00001131392,0.0002173727,0.0000676162,0.000006382556],"category_scores_gemma":[0.00008652487,0.0001245838,0.0001092663,0.000309358,0.00005802307,0.0002452718,0.00003252668,0.0001805613,6.255534e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002368582,"about_ca_system_score_gemma":0.0001139222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001562232,"about_ca_topic_score_gemma":0.000002550998,"domain_scores_codex":[0.9987062,0.00007837334,0.0006457242,0.0001128351,0.0002403801,0.0002164395],"domain_scores_gemma":[0.9989758,0.0001909825,0.0003454868,0.0002126762,0.0002394671,0.00003558552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003017908,0.00007398342,0.000002470838,0.0002554216,0.00007936911,0.000001488156,0.00008017173,0.9446291,0.008108098,0.001064162,0.001163402,0.04424051],"study_design_scores_gemma":[0.0007203442,0.0003716453,0.00001343915,0.0002545332,0.000009341508,0.000001558405,0.00004320297,0.8570043,0.1371493,0.003761578,0.0005972646,0.00007348647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03607079,0.0003622034,0.9623885,0.0001289492,0.0001276225,0.0001333712,0.0000694886,0.00004078121,0.0006782553],"genre_scores_gemma":[0.9006951,0.0001431236,0.09886193,0.00006078569,0.0000117538,0.00002730524,0.00002647006,0.00002219643,0.0001513559],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8646243,"threshold_uncertainty_score":0.5080379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01752788930955886,"score_gpt":0.2748193799735409,"score_spread":0.257291490663982,"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."}}