{"id":"W2038095448","doi":"10.1108/03684921211257766","title":"Petri net model for supply‐chain quality conflict resolution of a complex product","year":2012,"lang":"en","type":"article","venue":"Kybernetes","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Graduate Research and Innovation Projects of Jiangsu Province; Nanjing University; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Petri net; Computer science; Supply chain; Quality (philosophy); Operations research; Conflict analysis; Originality; Conflict resolution; Distributed computing; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000905668,0.0001780768,0.0003442106,0.0002032479,0.000129756,0.0000738426,0.0002035416,0.00005741876,0.00005846805],"category_scores_gemma":[0.0003148355,0.0001607173,0.0001442682,0.0004107697,0.00006834196,0.0007423693,0.00006449423,0.00006931066,0.00002393713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001694961,"about_ca_system_score_gemma":0.00001968224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111839,"about_ca_topic_score_gemma":0.00005544272,"domain_scores_codex":[0.9986629,0.00001191506,0.0004238327,0.000264383,0.0002477813,0.0003891939],"domain_scores_gemma":[0.9988834,0.00005782806,0.0003530655,0.0002764543,0.0004115039,0.00001772359],"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":[0.0003851003,0.001044685,0.1636126,0.004005149,0.0003219243,3.598742e-7,0.0009962232,0.09553667,0.009571408,0.6691612,0.03609297,0.0192717],"study_design_scores_gemma":[0.0005066076,0.000004142211,0.004790382,0.00004216085,0.0001527375,2.87874e-7,0.00009006326,0.9665597,0.0002558977,0.013904,0.0134235,0.0002705336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996974,0.007909535,0.1413637,0.007830777,0.0009170649,0.002228215,0.0001974568,0.0009527199,0.03890318],"genre_scores_gemma":[0.9950569,0.00001469686,0.002243239,0.0003648452,0.00109794,0.00004478819,0.0002049152,0.0000274031,0.0009453197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.871023,"threshold_uncertainty_score":0.6553862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142601469244724,"score_gpt":0.3076990861574028,"score_spread":0.1934389392329304,"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."}}