{"id":"W3034783581","doi":"10.3390/math8060963","title":"Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications","year":2020,"lang":"en","type":"article","venue":"Mathematics","topic":"Stochastic processes and financial applications","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Ergodic theory; Martingale (probability theory); Mathematics; Discrete time and continuous time; Markov chain; Statistical physics; Applied mathematics; Markov process; Mathematical analysis; Physics; Statistics","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":[0.0009520507,0.0006070058,0.0007518306,0.001362205,0.0004503712,0.001163066,0.0007200842,0.0007982769,0.001942255],"category_scores_gemma":[0.00433467,0.0002681979,0.0009963234,0.0005018598,0.001722329,0.001670443,0.001056914,0.001044771,0.0002843165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000847552,"about_ca_system_score_gemma":0.0005141415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570258,"about_ca_topic_score_gemma":0.00131102,"domain_scores_codex":[0.9994814,0.000232858,0.00002618895,0.00007346254,0.0001347992,0.00005130796],"domain_scores_gemma":[0.9984052,0.000874308,0.0002187044,0.0001103362,0.0002688241,0.0001226023],"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":[0.00002438385,0.00002195686,0.0004401844,0.00008152115,0.00002177309,0.0002036274,0.00008647562,0.06328,0.002210454,0.9297801,0.0003748346,0.003474738],"study_design_scores_gemma":[0.00001103459,0.00002838781,0.0003598074,0.00002187183,0.00001248156,0.0001407077,0.00004258984,0.7120047,0.0007948342,0.2846816,0.001885154,0.00001686461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.144827,0.00347331,0.8219672,0.001461455,0.0003025373,0.00007104177,0.0001953279,0.000315916,0.02738622],"genre_scores_gemma":[0.9327244,0.002064273,0.05220836,0.0002013826,0.0002971805,0.0001311537,0.0001806663,0.00006706184,0.01212554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002570258,"threshold_uncertainty_score":0.006497443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629950146434641,"score_gpt":0.205884557488272,"score_spread":0.1895850560239256,"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."}}