{"id":"W2168541843","doi":"10.1007/11752578_98","title":"Porting CFD Codes Towards Grids: A Case Study","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Porting; Grid; Load balancing (electrical power); Computational fluid dynamics; Parallel computing; Heuristic; Code (set theory); Graph; Distributed computing; Algorithm; Theoretical computer science; Programming language; Artificial intelligence; Software","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":[0.002022519,0.000757171,0.0005050913,0.0007683548,0.001641301,0.002070166,0.001616093,0.002898064,0.004660234],"category_scores_gemma":[0.009587118,0.0005053226,0.0005876718,0.001181809,0.001486989,0.00160439,0.00155306,0.00134438,0.001065922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006738144,"about_ca_system_score_gemma":0.0006711809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004519548,"about_ca_topic_score_gemma":0.004432561,"domain_scores_codex":[0.9984134,0.000641145,0.00007497442,0.0001115533,0.0005933129,0.0001655741],"domain_scores_gemma":[0.9923323,0.00523802,0.0002287759,0.001167527,0.0007178141,0.0003154979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002544814,0.003097085,0.03615983,0.001234225,0.0001644299,0.05450604,0.008831598,0.4800956,0.04947963,0.03910858,0.02382931,0.3009489],"study_design_scores_gemma":[0.0005403916,0.001628481,0.008871208,0.0002768171,0.0001614128,0.01405412,0.00616168,0.7771977,0.1067874,0.01831416,0.06580582,0.0002009118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8820047,0.0003413594,0.07091588,0.001606902,0.0001925626,0.0004265187,0.0003399437,0.001940705,0.04223143],"genre_scores_gemma":[0.9445653,0.0002528308,0.04525468,0.0001224666,0.00002165238,0.00007864953,0.0001660631,0.0003744756,0.00916387],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004660234,"threshold_uncertainty_score":0.01559001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367115691461437,"score_gpt":0.2695759246102245,"score_spread":0.2459047676956101,"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."}}