{"id":"W1958839546","doi":"10.1504/ijpse.2015.071431","title":"Automotive underbody diffuser for battery thermal management","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Diffuser (optics); Battery pack; Battery (electricity); Automotive engineering; Aerodynamic drag; Range (aeronautics); Aerodynamics; Air cooling; Thermal; Automotive industry; Engineering; Marine engineering; Environmental science; Electrical engineering; Mechanical engineering; Aerospace engineering; Meteorology; Physics; Power (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":[0.0001152507,0.0002841311,0.0004124559,0.0002237577,0.0003566781,0.0005020933,0.0004563412,0.0003402337,0.002469727],"category_scores_gemma":[0.000171337,0.0001024633,0.000372493,0.0001486347,0.0002363807,0.0006480557,0.0004700522,0.0003018228,0.0007160082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356619,"about_ca_system_score_gemma":0.0002309703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436222,"about_ca_topic_score_gemma":0.002850873,"domain_scores_codex":[0.9998548,0.00001786072,0.000003429311,0.00002365694,0.00006592766,0.00003426733],"domain_scores_gemma":[0.9999179,0.00001482224,0.00001163232,0.00001636106,0.00002756261,0.00001177613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000976283,0.0002346161,0.01672542,0.0006253472,0.00008351824,0.001519467,0.000627645,0.1537778,0.6467118,0.005491718,0.003435007,0.1697913],"study_design_scores_gemma":[0.0001038525,0.001939105,0.02679168,0.00007410176,0.0001891431,0.001743695,0.001230088,0.4458211,0.4627514,0.002172944,0.05710144,0.00008146656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062526,0.000961403,0.0765793,0.0001355804,0.0001100637,0.00006100163,0.0001290106,0.0004968954,0.01527421],"genre_scores_gemma":[0.9927492,0.0002180881,0.002887149,0.00002058922,0.00001071756,0.00001089392,0.00006860634,0.00002496238,0.004009591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002469727,"threshold_uncertainty_score":0.008262038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343533166316753,"score_gpt":0.2906171589232773,"score_spread":0.2671818272601098,"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."}}