{"id":"W2083801760","doi":"10.1002/cpe.1708","title":"Dataflow detection and applications to workflow scheduling","year":2011,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Dataflow; Workflow; Distributed computing; Correctness; Workflow technology; Workflow management system; Concurrency; Scheduling (production processes); Parallel computing; Database; Algorithm","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":[0.002227999,0.0007727231,0.0005992825,0.002510833,0.0009727956,0.001656117,0.001252555,0.0008207713,0.001670807],"category_scores_gemma":[0.01021013,0.0004581537,0.0006980032,0.001924902,0.001025828,0.001408438,0.001192248,0.001131954,0.0002426313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001857572,"about_ca_system_score_gemma":0.001435126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005854188,"about_ca_topic_score_gemma":0.002877159,"domain_scores_codex":[0.9989562,0.0003157796,0.00008073129,0.0002626888,0.0002975763,0.00008695575],"domain_scores_gemma":[0.9902649,0.006127708,0.0009811299,0.0007730009,0.001499999,0.0003532698],"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":[0.0004216241,0.0002527288,0.01346989,0.0002102058,0.0000703168,0.0004624139,0.0002943385,0.6547538,0.02184624,0.04374904,0.003604735,0.2608647],"study_design_scores_gemma":[0.000005262214,0.00001400279,0.0004424279,0.000008504395,0.000004527315,0.0000330901,0.00001641309,0.9824127,0.004639644,0.0112205,0.001194307,0.000008614264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06099638,0.0005137158,0.9321271,0.0006857091,0.0001673774,0.0001434079,0.0002771392,0.003004839,0.002084298],"genre_scores_gemma":[0.6587689,0.0003915339,0.3387609,0.00009561766,0.0001041152,0.0001007171,0.0004117535,0.0001339022,0.001232567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005854188,"threshold_uncertainty_score":0.01347774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492769611559476,"score_gpt":0.3191701278006935,"score_spread":0.2698931666447459,"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."}}