{"id":"W7117738182","doi":"10.17632/zdpxdkx6rn.1","title":"Dataset: Practical considerations and limitations of online EIS-based battery internal temperature estimation in traction applications","year":2025,"lang":"","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Estimator; Electrical impedance; Nyquist plot; Temperature measurement; Battery (electricity); Function (biology); Dielectric spectroscopy; Traction (geology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002161998,0.00122535,0.001508837,0.002485474,0.0006103738,0.0007152182,0.001349222,0.001134026,0.0004646043],"category_scores_gemma":[0.01239644,0.001440665,0.0001064888,0.001927606,0.0008192341,0.00365369,0.001589028,0.003364427,0.0001504242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005676812,"about_ca_system_score_gemma":0.004756009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006231646,"about_ca_topic_score_gemma":0.01380821,"domain_scores_codex":[0.9902045,0.00145863,0.003443383,0.002902108,0.001211327,0.0007800976],"domain_scores_gemma":[0.979673,0.009809871,0.002191757,0.007255612,0.0006825671,0.0003871466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003213793,0.005778258,0.0000487364,0.001030459,0.0004555833,0.0000758973,0.00006348923,0.004636686,0.001504716,0.0003190592,0.9837115,0.002054232],"study_design_scores_gemma":[0.003949126,0.0002733977,0.0008982332,0.001627266,0.003170289,0.0002899907,0.0007240472,0.2630412,0.0002941427,0.0004106768,0.7239735,0.001348159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001151245,0.0005181397,0.01892547,0.005825805,0.0003563145,0.003619155,0.9705525,0.00005792224,0.00002954442],"genre_scores_gemma":[0.00917762,0.001530149,0.03721643,0.0008785406,0.0002017816,0.0006737043,0.9502029,0.00009192548,0.00002691477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.259738,"threshold_uncertainty_score":0.9989349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1261682213384507,"score_gpt":0.3999831543615675,"score_spread":0.2738149330231169,"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."}}