{"id":"W2481444333","doi":"10.1007/b104300","title":"High Performance Computational Science and Engineering","year":2005,"lang":"en","type":"book","venue":"IFIP International Federation for Information Processing/IFIP","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Computer science","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001056593,0.0003963811,0.000312329,0.0007787024,0.0009042873,0.004166899,0.001211273,0.0002273044,0.00001334041],"category_scores_gemma":[0.0002395716,0.0004206461,0.00007099938,0.000312381,0.0001307768,0.007174726,0.0002478383,0.0003011822,0.00009963074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007015149,"about_ca_system_score_gemma":0.001712758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003689249,"about_ca_topic_score_gemma":8.744673e-7,"domain_scores_codex":[0.9965806,0.00001128031,0.001007927,0.0004913688,0.001538405,0.0003703879],"domain_scores_gemma":[0.99566,0.0001276961,0.0008025295,0.0002568995,0.003005137,0.0001477186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004198484,0.00005359649,0.0000235037,0.0008465233,0.00008981782,0.000001172986,0.001662079,0.2965926,0.00003651563,0.4643782,0.04026776,0.1960063],"study_design_scores_gemma":[0.0004793961,0.00004804265,0.0002109162,0.0002577329,0.000007958003,0.00005002997,0.000008091884,0.6827477,0.00006532549,0.00141581,0.3143354,0.0003736962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004442045,0.0001060478,0.9206708,0.001286931,0.002447724,0.0007570997,0.0001611894,0.0004953713,0.07363065],"genre_scores_gemma":[0.7947726,0.00003336357,0.1230211,0.002118863,0.002122456,0.000296314,0.004563137,0.00007030776,0.07300191],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7976497,"threshold_uncertainty_score":0.9998245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008915760407049785,"score_gpt":0.2265061059734436,"score_spread":0.2175903455663938,"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."}}