{"id":"W1496496973","doi":"10.23919/ecc.2007.7068837","title":"Problem solving in control of discrete-event systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Supervisory control; Event (particle physics); Construct (python library); Task (project management); Context (archaeology); Software; Human–computer interaction; Control (management); Artificial intelligence; Theoretical computer science; Programming language; Systems engineering; Engineering","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":[0.003068986,0.0011053,0.001090562,0.0008131198,0.0009167495,0.003542266,0.001207822,0.001610033,0.003723631],"category_scores_gemma":[0.0101186,0.0003985569,0.0008224405,0.001178316,0.004291513,0.002743872,0.001441922,0.002386577,0.000372883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714883,"about_ca_system_score_gemma":0.00144594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002997682,"about_ca_topic_score_gemma":0.001983884,"domain_scores_codex":[0.9965315,0.001822469,0.000279738,0.0004028131,0.0007603552,0.0002029786],"domain_scores_gemma":[0.9919952,0.006943891,0.000297763,0.0002701902,0.0002883963,0.0002045822],"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":[0.0001822352,0.0001471634,0.0008547812,0.0008074397,0.00009170837,0.0004501916,0.001021895,0.2688771,0.002285374,0.6499397,0.00167582,0.07366662],"study_design_scores_gemma":[0.00008984137,0.00009854608,0.0002492901,0.00009241176,0.00002680448,0.0001221289,0.0002676655,0.5128928,0.001104534,0.4750386,0.009982899,0.00003454552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01355428,0.004686377,0.9658126,0.001126093,0.0002101128,0.0001644072,0.00004103658,0.0002420474,0.01416299],"genre_scores_gemma":[0.6548845,0.007125101,0.3275962,0.0004058303,0.0005849425,0.0009165193,0.0002187013,0.00007557021,0.008192569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003723631,"threshold_uncertainty_score":0.01623052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506365720677906,"score_gpt":0.2587585731205991,"score_spread":0.2436949159138201,"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."}}