{"id":"W2973912839","doi":"10.1007/978-3-030-31157-5_8","title":"Learning Communicating State Machines","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Finite-state machine; Conformance testing; Automaton; Modular design; Oracle; Component (thermodynamics); Theoretical computer science; Deterministic finite automaton; Equivalence (formal languages); Artificial intelligence; Algorithm; Programming language; Discrete mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007221307,0.0006800272,0.0007740359,0.0007059699,0.000520547,0.001507713,0.00102683,0.0009868949,0.008998874],"category_scores_gemma":[0.005494241,0.0005039772,0.0006647111,0.0009196177,0.0009547786,0.002639149,0.001549977,0.00206646,0.002814957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005121519,"about_ca_system_score_gemma":0.0005024851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005041908,"about_ca_topic_score_gemma":0.0006285518,"domain_scores_codex":[0.9995475,0.0001119924,0.00002593011,0.0001599013,0.0001171875,0.00003739751],"domain_scores_gemma":[0.9975988,0.001578283,0.00009670929,0.0004893901,0.0001805866,0.0000562161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001464943,0.000110898,0.001453426,0.0002364383,0.00009429206,0.0001120598,0.0002181303,0.1729297,0.004853124,0.319091,0.0171288,0.4836256],"study_design_scores_gemma":[0.000008881903,0.00002890535,0.0002141819,0.00002994434,0.00001829986,0.00005606538,0.00002253825,0.6315756,0.003245425,0.3566958,0.008090175,0.00001411624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01413531,0.0008444159,0.9639099,0.0007434564,0.0003149688,0.0000474142,0.0003298094,0.002255965,0.01741886],"genre_scores_gemma":[0.6294249,0.002416556,0.3115323,0.0005778425,0.0006529747,0.0003894467,0.003349781,0.0006263191,0.05102992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008998874,"threshold_uncertainty_score":0.03010422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189595784373488,"score_gpt":0.2543140481308387,"score_spread":0.2424180902871039,"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."}}