{"id":"W4390834546","doi":"","title":"Verification of Inference Observability in Supervisory Control of Discrete-Event Systems","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Petri Nets in System Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University","funders":"","keywords":"Observability; Supervisory control; Event (particle physics); Inference; Computer science; Control (management); Control theory (sociology); Mathematics; Artificial intelligence; Applied mathematics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01234684,0.0003147472,0.0007853952,0.0003858507,0.00008172794,0.000182034,0.003521381,0.0003269778,0.000005410936],"category_scores_gemma":[0.003012273,0.0003403848,0.0002233609,0.0009121214,0.0002045439,0.0002726369,0.001947011,0.0005340068,0.00001000664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002324143,"about_ca_system_score_gemma":0.0005363864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004398038,"about_ca_topic_score_gemma":0.0008359019,"domain_scores_codex":[0.9890736,0.007184963,0.001605519,0.001008983,0.0007787878,0.0003481423],"domain_scores_gemma":[0.9887171,0.003044835,0.001236403,0.004379834,0.002508102,0.0001136612],"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":[0.00005686038,0.002063887,0.1382639,0.006432009,0.000266576,0.00001145747,0.04760839,0.1432619,0.01998043,0.6088054,0.0001434417,0.03310568],"study_design_scores_gemma":[0.0005943648,8.409364e-7,0.03439752,0.005480964,0.00002108373,0.00000183765,0.0001715579,0.9458656,0.008374697,0.00458205,0.0001399252,0.0003696041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1678678,0.001080216,0.8273042,0.001331221,0.0004780132,0.0007295861,0.00008934202,0.0001702456,0.0009493411],"genre_scores_gemma":[0.979047,0.0002723311,0.02004345,0.000008186504,0.0000103622,0.0001557909,0.00008954293,0.00002744509,0.0003458715],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8111792,"threshold_uncertainty_score":0.9999048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05266224147165915,"score_gpt":0.2663067897099355,"score_spread":0.2136445482382764,"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."}}