{"id":"W7052171357","doi":"","title":"Realizing agile workflow with DeFleX to support adaptive business processes","year":2005,"lang":"en","type":"article","venue":"NPARC","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Agile software development; Workflow management system; Workflow engine; Business process; XML; RuleML; Workflow technology; Agile Unified Process","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003194818,0.0003708738,0.0003615048,0.0005825062,0.000547514,0.003157543,0.001271884,0.0008178654,0.001819945],"category_scores_gemma":[0.004215916,0.0004481022,0.0005196054,0.0004233951,0.000877554,0.002750934,0.001626512,0.001565497,0.0007048986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009786987,"about_ca_system_score_gemma":0.001492696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004648535,"about_ca_topic_score_gemma":0.005685177,"domain_scores_codex":[0.9987953,0.0003342287,0.0001587402,0.0002338275,0.0003504444,0.0001274958],"domain_scores_gemma":[0.9977782,0.0009526836,0.0001672268,0.0006530101,0.0003090644,0.0001397781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000688789,0.0005300826,0.007029851,0.0004908406,0.0001059425,0.002333165,0.003286526,0.1100869,0.06249541,0.2774945,0.02272442,0.5127336],"study_design_scores_gemma":[0.0001825001,0.00008484647,0.0008550105,0.00007639566,0.00004524804,0.0008632644,0.00026469,0.7689549,0.05083395,0.06382737,0.1139397,0.00007213624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01711107,0.00008337443,0.96118,0.0004122082,0.00004101131,0.0001090712,0.000142883,0.01669087,0.004229514],"genre_scores_gemma":[0.1253755,0.0001180461,0.8695764,0.0002204917,0.00001835716,0.00007651972,0.0006763179,0.0005015403,0.003436878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004648535,"threshold_uncertainty_score":0.01689607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472071142782515,"score_gpt":0.2216876960836691,"score_spread":0.2069669846558439,"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."}}