{"id":"W837345806","doi":"","title":"Efficient Use of Distributed Systems for Scientific Applications","year":2000,"lang":"en","type":"article","venue":"NASA Technical Reports Server (NASA)","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Supercomputer; IBM; Partition (number theory); Exploit; Distributed computing; Parallel computing; Metis; Polygon mesh; Simulated annealing; Graph partition; Graph; Theoretical computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004236604,0.001602673,0.001849581,0.001964555,0.001222565,0.005705715,0.002855892,0.001528396,0.009590012],"category_scores_gemma":[0.01210655,0.0007715269,0.0009285516,0.00372077,0.001671904,0.005082539,0.005467338,0.00202112,0.006675037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649352,"about_ca_system_score_gemma":0.002273977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001059568,"about_ca_topic_score_gemma":0.0008187125,"domain_scores_codex":[0.9915775,0.002837135,0.0005571172,0.0006617589,0.003961166,0.0004052655],"domain_scores_gemma":[0.994341,0.001602974,0.0002633155,0.002570972,0.001006037,0.0002157209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002679148,0.0002084942,0.001531526,0.001028314,0.000322924,0.0005628035,0.0006563541,0.07016889,0.01663019,0.2027724,0.04729902,0.6585512],"study_design_scores_gemma":[0.0003176453,0.0002653034,0.001417423,0.0004430348,0.0001701005,0.0007206557,0.0002807514,0.2867733,0.01507061,0.1949507,0.4994716,0.0001188954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009466258,0.01219156,0.9138838,0.00233541,0.0008037944,0.0007672164,0.0003299966,0.00959482,0.05062711],"genre_scores_gemma":[0.3291371,0.01351229,0.6194435,0.001001808,0.001106836,0.001631547,0.002102698,0.00210897,0.02995519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009590012,"threshold_uncertainty_score":0.03208172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0337073420467227,"score_gpt":0.2674333260205872,"score_spread":0.2337259839738645,"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."}}