{"id":"W3090885087","doi":"10.1137/20m1370525","title":"A Finite Memory Interacting Pólya Contagion Network and Its Approximating Dynamical Systems","year":2022,"lang":"en","type":"preprint","venue":"SIAM Journal on Control and Optimization","topic":"Stochastic processes and statistical mechanics","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Stochastic matrix; Markov process; Markov chain; Statistical physics; Mathematics; Applied mathematics; Physics; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001154657,0.0003245672,0.0006951826,0.0001151279,0.0004821871,0.0004224448,0.0001475485,0.0002129423,0.00005779312],"category_scores_gemma":[0.003377969,0.0002817712,0.00008179992,0.00008422515,0.00001895768,0.000110868,0.0002319366,0.001417388,7.704791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189789,"about_ca_system_score_gemma":0.0000786665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000271323,"about_ca_topic_score_gemma":0.000001210585,"domain_scores_codex":[0.9977631,0.0002849766,0.0008576005,0.0003764862,0.0003949219,0.0003229436],"domain_scores_gemma":[0.9956474,0.002784129,0.001019058,0.0001360581,0.0002273354,0.0001859937],"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":[0.0002939601,0.00005302265,0.000006179107,0.0006177131,0.0001356661,0.00004437967,0.0002546951,0.9438735,0.00000393909,0.05270748,0.00007008397,0.001939431],"study_design_scores_gemma":[0.001290056,0.0002475259,0.000002714969,0.001057847,0.000209937,0.0001869416,0.0003253275,0.9637038,3.384857e-7,0.03267978,0.00002880426,0.0002669359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001145258,0.001905052,0.9940059,0.0002711843,0.001543437,0.0006441473,0.00005802006,0.00005347232,0.0003735285],"genre_scores_gemma":[0.9246066,0.0007298832,0.07276133,0.0002942248,0.00115985,0.0001303876,0.00005260117,0.00009567925,0.0001694635],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9234613,"threshold_uncertainty_score":0.9999635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709474700024616,"score_gpt":0.290561924681277,"score_spread":0.2634671776810308,"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."}}