{"id":"W4416674160","doi":"10.3390/bioengineering12121288","title":"An Integrated Predictive Impact–Enhanced Process Mining Framework for Strategic Oncology Workflow Optimization: Case Study in Iran","year":2025,"lang":"en","type":"article","venue":"Bioengineering","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Workflow; Workload; Process mining; Psychological intervention; Linkage (software); Process (computing); Medical diagnosis","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":[0.003047241,0.0007511413,0.0003799705,0.00130045,0.0006145408,0.001158307,0.001180697,0.000814556,0.001008407],"category_scores_gemma":[0.004554544,0.0002766064,0.0008163977,0.001408936,0.0007238669,0.0008890892,0.0009342684,0.0007030084,0.0001190209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002509556,"about_ca_system_score_gemma":0.003681497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01948833,"about_ca_topic_score_gemma":0.0160613,"domain_scores_codex":[0.9990221,0.0004870941,0.00005368431,0.000122349,0.0001893023,0.0001253446],"domain_scores_gemma":[0.9972447,0.00190845,0.0002757485,0.0001633399,0.0003051583,0.0001025241],"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":[0.0003392384,0.0005991686,0.03152039,0.0002402314,0.00008739591,0.001663644,0.0009216839,0.8821504,0.002582036,0.01661279,0.001255318,0.06202773],"study_design_scores_gemma":[0.00004323446,0.000111875,0.004504991,0.00001936793,0.00004746747,0.0001488779,0.0004057892,0.9845607,0.002270426,0.005534503,0.002329973,0.00002284303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7945552,0.0004560551,0.1939381,0.0009863802,0.00002555112,0.0006289678,0.00057629,0.0005478311,0.00828556],"genre_scores_gemma":[0.9092405,0.0002152021,0.08928188,0.00004276486,0.000008934718,0.000128337,0.0002871336,0.00002736322,0.000767919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01948833,"threshold_uncertainty_score":0.03874981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0344925978015111,"score_gpt":0.3274518512159116,"score_spread":0.2929592534144005,"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."}}