{"id":"W621821632","doi":"","title":"Minimizing the cardinality of a real-time task set by automated task clustering","year":2013,"lang":"en","type":"preprint","venue":"LillOA (Université de Lille (University Of Lille))","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emera (Canada)","funders":"","keywords":"Computer science; Cluster analysis; Task (project management); Sketch; Cardinality (data modeling); Set (abstract data type); Process (computing); Execution time; Feature (linguistics); Parallel computing; Data mining; Programming language; Machine learning; 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":[0.002451449,0.00139637,0.001757841,0.001079512,0.0009154463,0.001470646,0.002236482,0.001072592,0.001766636],"category_scores_gemma":[0.009804446,0.0008458319,0.001040574,0.001499338,0.001080988,0.002618789,0.001939014,0.001423986,0.0004444282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382674,"about_ca_system_score_gemma":0.002248048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693795,"about_ca_topic_score_gemma":0.00229927,"domain_scores_codex":[0.9974217,0.0010557,0.000159283,0.00048343,0.0005608621,0.0003189056],"domain_scores_gemma":[0.9930305,0.003632364,0.0009111398,0.001475919,0.0005452138,0.0004048759],"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":[0.0003922356,0.0001531582,0.00118473,0.0002947921,0.00008377949,0.0000931238,0.0001960782,0.8993648,0.01157595,0.01950969,0.002909582,0.06424217],"study_design_scores_gemma":[0.00003232229,0.0001049143,0.0005105041,0.00002518475,0.00002147762,0.0000838566,0.00007655966,0.9641092,0.004733273,0.02863727,0.001646325,0.00001918855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08975341,0.0004092741,0.9058371,0.000431366,0.00005543441,0.0001567593,0.0001827218,0.0004571573,0.002716912],"genre_scores_gemma":[0.5386398,0.0003482601,0.4562212,0.0001283139,0.00009837232,0.0003333652,0.0004944695,0.0004937236,0.003242523],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002451449,"threshold_uncertainty_score":0.01296467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110549013455645,"score_gpt":0.1999957558182453,"score_spread":0.1889408544726808,"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."}}