{"id":"W4385198328","doi":"10.1007/978-3-031-33429-0_5","title":"DTSMRE in Reduced Random Media","year":2023,"lang":"en","type":"book-chapter","venue":"Probability and its applications","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Markov chain; Partition (number theory); State space; Statistical physics; Mathematics; Markov process; Chain (unit); State (computer science); Variable-order Markov model; Applied mathematics; Computer science; Markov model; Algorithm; Combinatorics; Physics; Statistics; Quantum mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002760583,0.0001655419,0.000206797,0.00006059899,0.00006517101,0.00002011458,0.0001639292,0.0003197154,0.00004237411],"category_scores_gemma":[0.0001289557,0.0001619709,0.00007266797,0.00004243795,0.0001040683,0.000002146968,0.0001716154,0.000199982,0.00006039052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001657619,"about_ca_system_score_gemma":0.00009096055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003774412,"about_ca_topic_score_gemma":0.0002158131,"domain_scores_codex":[0.9989625,0.00001946582,0.0002635462,0.0004819356,0.0001166166,0.0001559788],"domain_scores_gemma":[0.9993278,0.00005224873,0.000063959,0.0003712527,0.00008564169,0.00009909814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002647799,0.0002589509,0.0001365288,0.0005093883,0.0001021408,0.000003216473,0.0002423729,0.00001808818,0.02129633,0.8809747,0.001947061,0.09424643],"study_design_scores_gemma":[0.002011051,0.0001119337,0.00132103,0.0001241283,0.00005563102,0.000008691129,0.00003263498,0.0005385822,0.0007627723,0.2857206,0.7084852,0.0008277019],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08604874,0.005776515,0.001653174,0.00505732,0.0004049452,0.01125909,0.001825208,0.0002991638,0.8876758],"genre_scores_gemma":[0.1702769,0.02131726,0.001009636,0.0005311684,0.0007214077,0.002224369,0.005354239,0.0002109141,0.7983541],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7065381,"threshold_uncertainty_score":0.6604982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034548290595045,"score_gpt":0.2667145815106715,"score_spread":0.236369098604721,"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."}}