{"id":"W2037642470","doi":"10.1145/1175855.1175861","title":"Time vs. space adaptation with ATOP-grid","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"McMaster University","keywords":"Reservation; Computer science; Grid; Schedule; Distributed computing; Adaptation (eye); Scheduling (production processes); Resource allocation; Job scheduler; Space (punctuation); Computer network; Operating system; Mathematical optimization","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216364,0.00009245591,0.0001009145,0.00003489641,0.00007243983,0.0001505282,0.0003340362,0.00002936881,0.00001898583],"category_scores_gemma":[0.000002714346,0.00006901008,0.00002540622,0.0002700509,0.00001943503,0.0001948002,0.00004678578,0.00004568919,0.0005158706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001802678,"about_ca_system_score_gemma":0.00004127429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002945624,"about_ca_topic_score_gemma":0.00002414819,"domain_scores_codex":[0.9992284,0.0000335045,0.0001206717,0.0002292254,0.0002035284,0.0001847279],"domain_scores_gemma":[0.9995223,0.00003662503,0.00005818613,0.0002832617,0.00006010866,0.0000395393],"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":[0.00003128504,0.0002119054,0.0030759,0.00003693172,0.00004200947,0.0000819246,0.0008613412,0.2042529,0.0003208325,0.5294356,0.2550379,0.006611361],"study_design_scores_gemma":[0.000459799,0.0001522298,0.004491471,0.00003293394,0.000004178914,0.00005705753,0.00002177292,0.8778594,0.000294576,0.0008479337,0.1154909,0.0002876934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01573732,0.00002777215,0.930238,0.0007970975,0.0001612996,0.00008954968,0.00000171763,0.0003916686,0.05255559],"genre_scores_gemma":[0.956839,2.71435e-7,0.03382683,0.00009537204,0.0001715774,0.000003168436,0.00001822141,0.000005308214,0.009040299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9411016,"threshold_uncertainty_score":0.6630644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006219614672726414,"score_gpt":0.1810659920905953,"score_spread":0.1748463774178689,"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."}}