{"id":"W3136923130","doi":"10.31390/josa.2.1.08","title":"New Representations for a Semi-Markov Chain and Related Filters","year":2021,"lang":"en","type":"article","venue":"Journal of Stochastic Analysis","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Markov chain; Computer science; Chain (unit); Mathematics; Statistics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003915732,0.00008523039,0.0003729181,0.0002597201,0.00008614351,0.0001162269,0.000248339,0.00004569714,0.00001692871],"category_scores_gemma":[0.0003358846,0.00006989029,0.0003354158,0.0009807408,0.00001777393,0.0002110728,0.00005555913,0.00009781204,0.000001430266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003010758,"about_ca_system_score_gemma":0.0001639672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244904,"about_ca_topic_score_gemma":0.000008369364,"domain_scores_codex":[0.9988832,0.00006397114,0.0004749714,0.0001891796,0.0002456609,0.000143011],"domain_scores_gemma":[0.9985664,0.0003734278,0.0003734366,0.0002332244,0.0002903006,0.000163184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003482293,0.0004550079,0.003769533,0.0001298431,0.03487214,0.001219765,0.01204817,0.3765296,0.006607223,0.371066,0.02800944,0.1649451],"study_design_scores_gemma":[0.003900128,0.0003898064,0.007232901,0.0001136894,0.004454906,0.0009459863,0.001707115,0.8811858,0.00005831612,0.0993164,0.0002571384,0.0004377898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001665292,0.001037619,0.9938332,0.002549372,0.0001873537,0.00006073944,0.000002457016,0.000010074,0.0006538769],"genre_scores_gemma":[0.9644662,0.00001336272,0.03357878,0.0001156728,0.0001067107,0.000003361649,0.000002144187,0.000004164897,0.001709606],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9628009,"threshold_uncertainty_score":0.2850043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00934621621335232,"score_gpt":0.2434113369404774,"score_spread":0.2340651207271251,"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."}}