{"id":"W4237118884","doi":"10.1016/s1571-0661(05)80358-5","title":"Preface","year":2002,"lang":"en","type":"article","venue":"Electronic Notes in Theoretical Computer Science","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Concurrency; Library science; Computer science; Attendance; Event (particle physics); Petri net; Programming language; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144982,0.001060116,0.0009119266,0.002153233,0.002694483,0.005279661,0.00180792,0.001925956,0.6024277],"category_scores_gemma":[0.007476684,0.0004052014,0.0007876138,0.001943735,0.0007777002,0.004021691,0.003363235,0.002852848,0.4523401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228933,"about_ca_system_score_gemma":0.002587239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003057632,"about_ca_topic_score_gemma":0.003638938,"domain_scores_codex":[0.9986048,0.0002061037,0.0001080866,0.0003071566,0.0006194445,0.0001543274],"domain_scores_gemma":[0.9968634,0.0004067607,0.0001177812,0.0004068538,0.001611507,0.0005938121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000050497,0.00002297754,0.0001446434,0.0001224062,0.000003504521,0.0000599083,0.0001265509,0.00007092921,0.0001579411,0.009528771,0.9361157,0.05359615],"study_design_scores_gemma":[0.000003636655,0.00001111702,0.0001621471,0.00006215897,0.000001382556,0.00005346239,0.00007042338,0.00002359653,0.00005526915,0.001673586,0.9978799,0.000003347198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001637763,0.007194359,0.006755871,0.02022578,0.05830791,0.0004482055,0.01291871,0.002225424,0.890286],"genre_scores_gemma":[0.006601541,0.003527564,0.002581772,0.0042473,0.00645251,0.000248186,0.01046527,0.0008884941,0.9649873],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.6024277,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01292232272377771,"score_gpt":0.2441048877898789,"score_spread":0.2311825650661012,"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."}}