{"id":"W4416678434","doi":"10.51219/urforum.2025.sally-mcclean","title":"Semi-Markov Models for Process Mining in Smart Homes","year":2025,"lang":"","type":"article","venue":"","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Engineering and Physical Sciences Research Council; Ulster University","keywords":"Process (computing); Process mining; Work (physics); Context (archaeology); Process modeling","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":[0.001067999,0.0006553745,0.001032333,0.001960537,0.0005165834,0.001213251,0.0007477896,0.0003510982,0.0002881425],"category_scores_gemma":[0.0003684681,0.0006436143,0.0003609345,0.004249721,0.0001008143,0.003259219,0.0003061291,0.0002752834,0.00002548186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007708736,"about_ca_system_score_gemma":0.0002869093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000780663,"about_ca_topic_score_gemma":0.0005882703,"domain_scores_codex":[0.996142,0.00001501187,0.001231777,0.001202628,0.000404602,0.00100399],"domain_scores_gemma":[0.9976562,0.0001809283,0.0004131271,0.0004803281,0.001242119,0.0000273441],"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":[0.001110451,0.002112856,0.09908091,0.04331742,0.00127263,0.00002607286,0.001063798,0.4613841,0.00008822762,0.0438797,0.01967232,0.3269915],"study_design_scores_gemma":[0.001745037,0.000006341178,0.0002550957,0.001816229,0.0005801601,2.785188e-7,0.002841986,0.9515734,0.00004322125,0.03682315,0.003601125,0.0007140137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3181651,0.01067314,0.500792,0.01930776,0.002128732,0.002263189,0.00002159102,0.0006268022,0.1460217],"genre_scores_gemma":[0.9819849,0.0002707158,0.001106488,0.00308242,0.0004679692,0.0002899723,0.0000769406,0.00006975198,0.0126509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6638198,"threshold_uncertainty_score":0.9998236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987432719070748,"score_gpt":0.2635016874409252,"score_spread":0.2436273602502177,"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."}}