{"id":"W169386752","doi":"","title":"Knowledge-Intensive Business Processes: Proceedings of the 1st International Workshop on Knowledge-intensive Business Processes [CEUR Workshop Proceedings, Volume 861]","year":2012,"lang":"en","type":"article","venue":"Science & Engineering Faculty","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business process; Business process management; Workflow; Process (computing); Knowledge management; Domain knowledge; Process management; Work in process; Business; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009615879,0.0008077192,0.000744717,0.001217729,0.0007340321,0.001151661,0.002433848,0.0002315412,0.00004003293],"category_scores_gemma":[0.01377861,0.0006008008,0.0001784247,0.01652367,0.0006688696,0.005962352,0.001001911,0.0005855307,0.0001511478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002440429,"about_ca_system_score_gemma":0.0005411556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006496135,"about_ca_topic_score_gemma":0.00001711508,"domain_scores_codex":[0.9954245,0.000002914544,0.0008332368,0.001119814,0.001302177,0.001317334],"domain_scores_gemma":[0.9593287,0.00008607996,0.0007630943,0.0003274528,0.03937311,0.000121552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001485938,0.009588353,0.3919964,0.06469703,0.00205621,0.00002732446,0.04916565,0.1853246,0.09017337,0.05194222,0.1152758,0.03826695],"study_design_scores_gemma":[0.004584354,0.00006468687,0.2663866,0.02843167,0.002001591,0.0001737827,0.05562003,0.3726185,0.01807493,0.0009043141,0.2429482,0.008191458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781978,0.001184119,0.002625066,0.005028112,0.004098894,0.0009587759,0.00002937714,0.0008241812,0.007053644],"genre_scores_gemma":[0.9947104,0.00006997251,0.0003405416,0.0004514701,0.002339143,0.0001462775,0.00003359681,0.0001103263,0.001798264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1872938,"threshold_uncertainty_score":0.9998853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0320270921971655,"score_gpt":0.2682531722663385,"score_spread":0.236226080069173,"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."}}