{"id":"W1540519426","doi":"10.1142/p595","title":"Labelled Markov Processes","year":2009,"lang":"en","type":"book","venue":"IMPERIAL COLLEGE PRESS eBooks","topic":"Formal Methods in Verification","field":"Computer Science","cited_by":219,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Markov chain; Computer science; Machine learning","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":[0.0007419045,0.0009677809,0.0006200416,0.001240953,0.00087923,0.003316272,0.00100609,0.001373238,0.03340706],"category_scores_gemma":[0.003831137,0.0005989093,0.001035651,0.001817986,0.002006933,0.005246939,0.001359502,0.002594303,0.009481449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00170429,"about_ca_system_score_gemma":0.001137775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121556,"about_ca_topic_score_gemma":0.001554206,"domain_scores_codex":[0.998768,0.0003251475,0.00007484964,0.0002806759,0.0004645107,0.00008677577],"domain_scores_gemma":[0.998628,0.0007431416,0.0001099082,0.0002128436,0.000239142,0.00006695295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001140224,0.000008915665,0.00005773338,0.000154866,0.00001311891,0.00008791326,0.0001876826,0.001940981,0.0005777478,0.9444427,0.02173778,0.03077917],"study_design_scores_gemma":[0.000007620765,0.00001405951,0.0001162374,0.0001179839,0.00001202978,0.0002205039,0.0000471585,0.005024142,0.0004864963,0.6138078,0.3801295,0.00001647532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003821144,0.01865293,0.5501751,0.004164671,0.003469055,0.0002208123,0.002314363,0.001990742,0.4151913],"genre_scores_gemma":[0.1735363,0.02867431,0.2624446,0.004179351,0.002890858,0.0007168889,0.004733988,0.001234799,0.5215889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03340706,"threshold_uncertainty_score":0.1117578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03202670239291956,"score_gpt":0.2804898023067568,"score_spread":0.2484630999138372,"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."}}