{"id":"W375811165","doi":"10.6180/jase.2000.3.3.09","title":"Representing Task and Machine Heterogeneities for Heterogeneous Computing Systems","year":2000,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Heuristics; Computer science; Range (aeronautics); Task (project management); Schedule; Set (abstract data type); Matrix (chemical analysis); Execution time; Variation (astronomy); Algorithm; Distributed computing; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0004356263,0.0001996239,0.0002862257,0.00005899283,0.0003324207,0.0006483906,0.0005482817,0.00006316815,0.000008224612],"category_scores_gemma":[0.00001573588,0.0001780132,0.00008971857,0.0001480663,0.00003417649,0.0001812313,0.0001666435,0.00007080374,0.00002043962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001955567,"about_ca_system_score_gemma":0.00001619291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000186296,"about_ca_topic_score_gemma":0.000004713353,"domain_scores_codex":[0.9983084,0.00009352544,0.0004126359,0.0005550288,0.0001894028,0.0004409687],"domain_scores_gemma":[0.9990302,0.0002060771,0.00009935081,0.0004830931,0.00006337963,0.0001179091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007913547,0.0002949403,0.01129377,0.001163849,0.0005665231,0.0001500662,0.004398876,0.5571302,0.001256685,0.06570215,0.01103153,0.3469323],"study_design_scores_gemma":[0.0003924049,0.00007395327,0.0001150597,0.0000556077,0.000006164426,0.0003468533,0.00001934901,0.9694095,0.0001690161,0.0002015996,0.02895452,0.0002560256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1608864,0.001776197,0.832574,0.0001579794,0.000463899,0.000412095,0.00001799101,0.0005060773,0.003205325],"genre_scores_gemma":[0.9904003,0.00001271848,0.007698899,0.0001483644,0.0001845493,0.00001330996,0.00001574094,0.00001458521,0.001511519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8295139,"threshold_uncertainty_score":0.7259166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207273138427968,"score_gpt":0.2429503676753769,"score_spread":0.2208776362910973,"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."}}