{"id":"W4319439166","doi":"10.1051/itmconf/20235104005","title":"Towards a Rule Modeling Framework for Context-aware Smart Service Systems","year":2023,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Context (archaeology); Computer science; Service (business); Business rule; Knowledge management; Business logic; Context management; Context model; Rule-based system; Service system; Process management; Management science; Ubiquitous computing; Business process; Business; Artificial intelligence; Engineering; Human–computer interaction; Marketing; Database","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":[0.004768648,0.00116454,0.001320301,0.00311176,0.001391854,0.006924524,0.004735225,0.002899861,0.002323037],"category_scores_gemma":[0.004729988,0.001142307,0.003904623,0.00267052,0.00257751,0.005331356,0.002848073,0.004283182,0.001536175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162908,"about_ca_system_score_gemma":0.0041956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959135,"about_ca_topic_score_gemma":0.01664541,"domain_scores_codex":[0.996388,0.0009820724,0.000703121,0.0005005389,0.001164337,0.0002618826],"domain_scores_gemma":[0.9976421,0.0006914356,0.0002708223,0.0004706066,0.0007462653,0.0001788135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004789498,0.0001213375,0.0009174822,0.0002739199,0.0001038152,0.0006893139,0.001051577,0.1017823,0.003539531,0.8339289,0.004211739,0.0533322],"study_design_scores_gemma":[0.00003790432,0.00005559144,0.0002764332,0.0003067688,0.000115462,0.0003670936,0.0003115518,0.5814117,0.003658337,0.3194157,0.09397651,0.00006697306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001615473,0.000344837,0.9929034,0.0005738211,0.00007524842,0.0002133767,0.0001994137,0.0008375453,0.003236822],"genre_scores_gemma":[0.0384338,0.0007284721,0.9568372,0.0002656124,0.00009856882,0.0004342102,0.0007650824,0.0001691496,0.002267906],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01959135,"threshold_uncertainty_score":0.03895468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04729170381435413,"score_gpt":0.2867325304322167,"score_spread":0.2394408266178626,"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."}}