{"id":"W2354770519","doi":"","title":"A Method of Cost Analysis of Business Process Based on Petri Nets","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petri net; Computer science; Process architecture; State space; Construct (python library); Petri dish; Process (computing); State (computer science); Stochastic Petri net; Business process; Space (punctuation); Programming language; Work in process; Operating system; Mathematics; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003044426,0.0001926574,0.0004829096,0.001394962,0.0001201946,0.000083369,0.0005032355,0.00009182606,0.00009089301],"category_scores_gemma":[0.000006667554,0.0001772494,0.000212033,0.006817301,0.00006834355,0.0002206677,0.00006970169,0.0001558545,0.00001954063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006944377,"about_ca_system_score_gemma":0.00005019694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002797254,"about_ca_topic_score_gemma":0.00007322351,"domain_scores_codex":[0.9986656,0.000006940643,0.0004758606,0.0004125216,0.0002528147,0.0001862685],"domain_scores_gemma":[0.9976612,0.00008416666,0.0004993982,0.0004636885,0.001275705,0.0000158351],"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":[0.00006420499,0.001761026,0.02745165,0.001261385,0.0009037829,0.000001056398,0.00008956707,0.5454752,0.03194609,0.007812859,0.0005616931,0.3826714],"study_design_scores_gemma":[0.0004262906,0.000003254719,0.01756619,0.00003910189,0.001629959,4.898648e-7,0.00002142692,0.943675,0.001999601,0.0007094723,0.03364597,0.0002832596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02949314,0.0000122939,0.9683337,0.0006392911,0.00001755878,0.0003421615,0.00001982186,0.00007734195,0.001064702],"genre_scores_gemma":[0.9241399,0.000001514818,0.07443074,0.0007333519,0.0002219452,0.0002049688,0.0002180261,0.00002444304,0.00002516035],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8946467,"threshold_uncertainty_score":0.7228022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297232052595229,"score_gpt":0.2751402969423677,"score_spread":0.2621679764164155,"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."}}