{"id":"W4400810924","doi":"10.1109/csci62032.2023.00067","title":"A Smart Particle Filter Technology for Battery State Estimation and Life Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Particle filter; Battery (electricity); Computer science; Estimation; State (computer science); Filter (signal processing); Engineering; Algorithm; Systems engineering; Computer vision; Physics","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":[0.0006134085,0.0007078005,0.0007172101,0.0005521741,0.0004227016,0.000494989,0.0007453418,0.001144085,0.001237506],"category_scores_gemma":[0.001558531,0.0003334485,0.0006885083,0.0005863268,0.0003374805,0.001136668,0.0004439227,0.00109047,0.0004177148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497309,"about_ca_system_score_gemma":0.0006727662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004792649,"about_ca_topic_score_gemma":0.003370282,"domain_scores_codex":[0.9996845,0.0000556563,0.00002281707,0.00009046204,0.000123798,0.00002286835],"domain_scores_gemma":[0.9996125,0.0001683136,0.00004576515,0.00003886735,0.0001210624,0.00001353946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001896592,0.0001212628,0.002954499,0.0002527272,0.0001378133,0.0001542013,0.0001541404,0.4400579,0.02862301,0.01427532,0.004129764,0.5089497],"study_design_scores_gemma":[0.00000935862,0.00004471685,0.0003854251,0.000007381536,0.00001112616,0.00003917129,0.000005658066,0.9936872,0.002895761,0.00130027,0.001603425,0.00001056074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002778769,0.0001835721,0.9961929,0.00006266512,0.00005088123,0.0000154238,0.00002022748,0.0002391694,0.0004564271],"genre_scores_gemma":[0.4100066,0.001341195,0.582125,0.0002779523,0.000190505,0.0002917942,0.0003083897,0.00007285803,0.005385675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004792649,"threshold_uncertainty_score":0.009529531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263337793547253,"score_gpt":0.2720100450443889,"score_spread":0.2493766671089163,"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."}}