{"id":"W2055425445","doi":"10.1243/09544070jauto1416","title":"Evaluation of the Thermofluid Performance of an Automotive Engine Cooling-Fan System Motor","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Siemens (Canada); Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Computational fluid dynamics; Fluent; Mechanical fan; Automotive industry; Mechanical engineering; Heat transfer; Automotive engineering; Rotational speed; Airflow; Fin; Work (physics); Engineering; Water cooling; Flow (mathematics); Internal combustion engine cooling; Mechanics; Aerospace engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008702206,0.0006842994,0.0008471567,0.0005418636,0.0006822678,0.0004470579,0.0006006955,0.0006046445,0.001624961],"category_scores_gemma":[0.001925719,0.0002777523,0.0003081447,0.0002970936,0.000597689,0.0005907462,0.0003475815,0.0002370754,0.0003480754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079455,"about_ca_system_score_gemma":0.0005041132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681677,"about_ca_topic_score_gemma":0.002709146,"domain_scores_codex":[0.9995726,0.00009260063,0.00003055095,0.0000660146,0.0001658528,0.00007247514],"domain_scores_gemma":[0.9990906,0.0003871947,0.00006770126,0.00008994339,0.0003105393,0.00005411753],"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":[0.0023593,0.000401573,0.008015548,0.0004860846,0.00004600947,0.0003000698,0.0003432317,0.0475318,0.9126008,0.0004137732,0.0003037978,0.02719808],"study_design_scores_gemma":[0.00009489495,0.004247178,0.0113912,0.00002060635,0.00004700715,0.0001415894,0.0001335727,0.1004339,0.8818879,0.00007181522,0.001481812,0.0000483978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966987,0.0001134782,0.002379313,0.00002469304,0.000009839621,0.00002492447,0.00008192147,0.0000867777,0.0005803003],"genre_scores_gemma":[0.9980544,0.00006121474,0.00135889,0.00000367443,0.000002046111,0.00001154351,0.00007727435,0.00001564892,0.0004153654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002681677,"threshold_uncertainty_score":0.005436063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008442126839004091,"score_gpt":0.2048649937402493,"score_spread":0.1964228669012452,"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."}}