{"id":"W4206363421","doi":"10.1007/978-3-540-75209-7_18","title":"A Business-Process-Driven Approach for Generating E-Commerce User Interfaces","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Artifact-centric business process model; Usability; Business process modeling; Business process; Business Process Model and Notation; Business process management; Workflow; Business rule; Business process discovery; Interdependence; Process management; Software engineering; User interface; Knowledge management; Human–computer interaction; Work in process; Database; Engineering; Programming language","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008932359,0.000667595,0.0007385089,0.001470346,0.0005237616,0.001140864,0.001493903,0.0003665962,0.00003318728],"category_scores_gemma":[0.0002036649,0.0005851652,0.000165713,0.001348336,0.000429504,0.001211232,0.0005438543,0.000555056,0.00002241642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009787209,"about_ca_system_score_gemma":0.0001685003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001181947,"about_ca_topic_score_gemma":0.00011681,"domain_scores_codex":[0.9964262,0.000003734029,0.0006714008,0.001434928,0.0007431991,0.0007205138],"domain_scores_gemma":[0.9972923,0.0001341691,0.0005737605,0.000586492,0.001381852,0.00003135923],"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":[0.00002359065,0.00004826435,0.0002622943,0.0008835489,0.00003151103,0.000007010452,0.0001108676,0.7251327,0.00009490622,0.0015609,0.0000359946,0.2718084],"study_design_scores_gemma":[0.0003142311,0.000009219258,0.00003149815,0.000484681,0.00009270276,0.000005716608,0.000002081653,0.9834759,0.00007269641,0.01320186,0.001539528,0.0007698633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001121463,0.0003871394,0.992565,0.0004356257,0.0006155835,0.0003934517,0.000004190168,0.0001786049,0.004298938],"genre_scores_gemma":[0.6436147,0.00003387917,0.3403735,0.007206814,0.007367171,0.00006076931,0.0001748178,0.0002109576,0.0009573237],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6521915,"threshold_uncertainty_score":0.999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143817841824016,"score_gpt":0.2682192086273,"score_spread":0.2267810302090598,"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."}}