{"id":"W2095400985","doi":"10.4271/2012-01-0125","title":"A Review Study of Methods for Lithium-ion Battery Health Monitoring and Remaining Life Estimation in Hybrid Electric Vehicles","year":2012,"lang":"en","type":"review","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Transport Canada","keywords":"Battery (electricity); Estimation; Lithium (medication); Lithium-ion battery; Automotive engineering; Computer science; Electrical engineering; Reliability engineering; Engineering; Systems engineering; Power (physics); Medicine; 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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003486133,0.001239768,0.004442166,0.001004665,0.0002122691,0.0000608114,0.001233254,0.0009122108,0.0000161974],"category_scores_gemma":[0.003212527,0.001089745,0.0005016837,0.001945622,0.0003157961,0.0005217108,0.0006432906,0.002928185,0.000007913599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001011748,"about_ca_system_score_gemma":0.0001915324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001579761,"about_ca_topic_score_gemma":0.0007815323,"domain_scores_codex":[0.9930259,0.0007371668,0.002903692,0.001280075,0.0006089982,0.001444186],"domain_scores_gemma":[0.9944965,0.002662627,0.0006712178,0.001693803,0.0001045444,0.0003713456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004086165,0.000302565,0.00001685352,0.03575941,0.0001157616,0.000006834483,0.00001778681,0.00003654464,0.02655455,0.00009032318,0.0003149153,0.9367436],"study_design_scores_gemma":[0.001985494,0.00726428,0.1089047,0.153493,0.001488703,0.0003753602,0.0002728675,0.000005456967,0.00009851877,0.001110933,0.7211561,0.003844558],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001321357,0.989511,0.00007221618,0.000300198,0.0001893221,0.006290192,0.00003559888,0.002073502,0.0002065845],"genre_scores_gemma":[0.07207787,0.8940822,0.0300419,0.0001266393,0.0001003112,0.003222675,0.00004629641,0.0002916885,0.00001045339],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9328991,"threshold_uncertainty_score":0.9993721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07507014635207833,"score_gpt":0.4089306502218191,"score_spread":0.3338605038697408,"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."}}