{"id":"W4401455196","doi":"10.1145/3643794.3648273","title":"Communication Semantics for IoT-aware Business Process Management Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Business process; Semantics (computer science); Process (computing); Internet of Things; Business process management; Process management; Computer security; Work in process; Programming language; Business","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004063266,0.0002353633,0.000259036,0.000461738,0.0003191806,0.001461497,0.000437683,0.00008560491,0.00004457492],"category_scores_gemma":[0.00002446143,0.0001956327,0.0001010772,0.001594946,0.00003821258,0.0008501297,0.0001350413,0.0000970347,0.000175092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002739504,"about_ca_system_score_gemma":0.00002966068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002477452,"about_ca_topic_score_gemma":0.00003115816,"domain_scores_codex":[0.9986275,0.000004892227,0.0003730535,0.0004134921,0.000286891,0.0002942049],"domain_scores_gemma":[0.9986491,0.00003850731,0.0001091719,0.0004095417,0.0007827263,0.00001096812],"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":[0.00007887486,0.0004149566,0.00137916,0.06513281,0.0009075023,0.00003356457,0.0001752674,0.1179034,0.00004807696,0.7116104,0.0333609,0.0689551],"study_design_scores_gemma":[0.0002535073,0.000001703169,0.0001214994,0.0008428951,0.0004514317,0.000002144561,0.0008111665,0.9221725,0.00000746518,0.01047836,0.06450596,0.0003513301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02004228,0.004913589,0.9251744,0.01311432,0.001666054,0.001538704,0.00001485924,0.002683867,0.03085191],"genre_scores_gemma":[0.993904,0.000120454,0.0006471345,0.0004467785,0.0007272737,0.000268044,0.0001902842,0.00006537113,0.003630663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738617,"threshold_uncertainty_score":0.9995751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246747067732617,"score_gpt":0.2636911079235388,"score_spread":0.2412236372462127,"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."}}