{"id":"W2769525732","doi":"","title":"Thermal Management of Lithium-ion Battery Modules for Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Trillium Foundation; University of Windsor","keywords":"Thermal management of electronic devices and systems; Lithium (medication); Battery (electricity); Automotive battery; Lithium-ion battery; Automotive engineering; Engineering; Physics; Power (physics); Mechanical engineering; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002862859,0.0001931739,0.0003135525,0.0003019267,0.0004869919,0.00003034084,0.00132791,0.0002238643,0.00004891635],"category_scores_gemma":[0.00006084838,0.000238865,0.0001735499,0.0001779144,0.0002381579,0.0006695679,0.0004024844,0.0003374224,0.00002725726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001423024,"about_ca_system_score_gemma":0.00000955438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001211049,"about_ca_topic_score_gemma":0.00001362555,"domain_scores_codex":[0.9986926,0.0000306291,0.0001714438,0.0003040401,0.0003485423,0.0004527401],"domain_scores_gemma":[0.9985902,0.00007949879,0.0001582422,0.0009646082,0.0001277725,0.00007967418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004545672,0.0001087332,0.02537405,0.00107856,0.0004587212,0.00006493085,0.0003283283,0.00695209,0.9038908,0.001287419,0.0003168644,0.05968488],"study_design_scores_gemma":[0.002245699,0.0002110839,0.5382739,0.0002304421,0.0001020807,0.000004030371,0.0009566756,0.006285221,0.4472837,0.00162813,0.002280527,0.0004984477],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994116,0.0002343297,0.001795059,0.0001974728,0.00009103362,0.0004029402,0.00004536219,0.0001995568,0.002918222],"genre_scores_gemma":[0.9924808,0.000228736,0.006079306,0.000004230019,0.000024792,0.000001910561,0.000009244452,0.00003782636,0.001133136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5128999,"threshold_uncertainty_score":0.9740634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740573596008723,"score_gpt":0.2477464991395044,"score_spread":0.2203407631794172,"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."}}