{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545365,0.000779408,0.0009225906,0.001495013,0.0005321565,0.001584657,0.001077749,0.001066108,0.008587353],"category_scores_gemma":[0.002327227,0.0003963552,0.0007595978,0.0008348122,0.001634871,0.002235415,0.001279198,0.001385739,0.002047907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009955675,"about_ca_system_score_gemma":0.0004703216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337422,"about_ca_topic_score_gemma":0.0008616208,"domain_scores_codex":[0.9996215,0.0001320094,0.00002137527,0.00005851997,0.0001316163,0.00003504429],"domain_scores_gemma":[0.9992903,0.0003925819,0.00006339385,0.0000974854,0.0001055426,0.0000506291],"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":[0.000008116471,0.000006856402,0.00002050863,0.00004292037,0.000004157337,0.00003148986,0.00002485275,0.007192517,0.0006491589,0.9830871,0.00226638,0.006665851],"study_design_scores_gemma":[0.000005507146,0.00001134691,0.00006490208,0.00001784429,0.000005314466,0.0001059847,0.00001515152,0.1016676,0.0009813147,0.8802935,0.01681753,0.0000139208],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03447601,0.01045991,0.6385662,0.002906802,0.00188047,0.00007961671,0.00058517,0.0009552187,0.3100906],"genre_scores_gemma":[0.5296246,0.008626315,0.1502082,0.001220658,0.002306463,0.0002923145,0.0008110685,0.001107086,0.3058032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008587353,"threshold_uncertainty_score":0.02872759,"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."}}