{"id":"W4407304468","doi":"10.1109/ecce55643.2024.10861466","title":"Temporal Sensitivity Analysis of Internal Temperature Informed Charging Algorithms and Rapid Thermal Management System for E-mobility","year":2024,"lang":"en","type":"article","venue":"","topic":"Thermal Analysis in Power Transmission","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sensitivity (control systems); Computer science; Thermal; Algorithm; Electronic engineering; Engineering; Physics; Meteorology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004851792,0.0001797771,0.0003696435,0.0003699145,0.00003793228,0.00006638524,0.0000772771,0.00007652162,0.00005608353],"category_scores_gemma":[0.000003613094,0.0001361584,0.0002640192,0.0005358186,0.00003152471,0.0001672772,0.00003417264,0.0001197716,0.000001763037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008474303,"about_ca_system_score_gemma":0.000007615077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003622397,"about_ca_topic_score_gemma":0.00002610092,"domain_scores_codex":[0.9990351,0.0000288936,0.0003463183,0.0002335488,0.0001676862,0.0001885067],"domain_scores_gemma":[0.9995658,0.0001033155,0.00002398949,0.0002056678,0.00003491768,0.00006631693],"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":[0.0004067466,0.0002290656,0.01215176,0.03127158,0.05988985,0.0002828155,0.007064416,0.1977265,0.2731361,0.006342246,0.0008261135,0.4106728],"study_design_scores_gemma":[0.0002306944,0.00002193003,0.007544485,0.000256724,0.001467806,0.000005349376,0.0005699806,0.9686636,0.01996036,0.000005743797,0.001070431,0.0002029495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849063,0.0008906171,0.1459372,0.00003833229,0.0003694515,0.0003977435,0.0001170131,0.0005573595,0.002629263],"genre_scores_gemma":[0.9966112,0.00003061285,0.003088402,0.00001053822,0.00003899649,0.00001991927,0.00003392059,0.00002006468,0.0001462847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7709371,"threshold_uncertainty_score":0.5552378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006269931122520182,"score_gpt":0.229476993095357,"score_spread":0.2232070619728369,"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."}}