{"id":"W7139569291","doi":"","title":"Toward an Efficient Workflow Management System","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Workflow; Workflow engine; Workflow management system; Scalability; Scheduling (production processes); Workflow technology; Task management; Task (project management)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004146704,0.0006481599,0.001151928,0.0006846646,0.001220913,0.0005144918,0.005175517,0.0003717594,0.01510266],"category_scores_gemma":[0.0001055545,0.0007649434,0.0006209876,0.001123472,0.0002134936,0.0007520306,0.001736841,0.000276304,0.0004430313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295774,"about_ca_system_score_gemma":0.0002840566,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06606045,"about_ca_topic_score_gemma":0.02772,"domain_scores_codex":[0.9919934,0.0005597351,0.0007915888,0.002710209,0.003154661,0.0007904296],"domain_scores_gemma":[0.9935905,0.0003180122,0.001287579,0.003539424,0.0008245411,0.0004399899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006668449,0.0006445767,0.00006040587,0.001617546,0.0005184163,0.0002145525,0.03444756,0.01154049,0.000013613,0.01481309,0.009253687,0.9262092],"study_design_scores_gemma":[0.001533059,0.00024958,0.04893702,0.002310101,0.0009849078,0.000002619871,0.6913896,0.2336387,0.000012845,0.00004789963,0.01995241,0.0009412601],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1080287,0.002000696,0.1145606,0.0005213597,0.01463983,0.002235748,0.0002396879,0.000365191,0.7574082],"genre_scores_gemma":[0.8285786,0.0002494378,0.01393171,0.00001631852,0.00006577122,0.000001118842,0.0003555654,0.0000202925,0.1567812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9252679,"threshold_uncertainty_score":0.9994801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05387816858378637,"score_gpt":0.3116302278679596,"score_spread":0.2577520592841732,"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."}}