{"id":"W2613687551","doi":"10.1109/tcns.2017.2781467","title":"A Polya Contagion Model for Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Control of Network Systems","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Martingale (probability theory); Stochastic process; Sampling scheme; Convergence (economics); Discrete time and continuous time; Invariant (physics); LTI system theory; Range (aeronautics); Contrast (vision)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001511057,0.0008460867,0.001321993,0.001064835,0.001011842,0.002021876,0.002336576,0.00257793,0.003845498],"category_scores_gemma":[0.00450482,0.0005090039,0.000997273,0.00123919,0.002076264,0.002573739,0.001281411,0.001967152,0.0006479655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505599,"about_ca_system_score_gemma":0.0009362744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008573849,"about_ca_topic_score_gemma":0.004116973,"domain_scores_codex":[0.9989272,0.0004915681,0.00005237236,0.0002124696,0.0001890142,0.0001274135],"domain_scores_gemma":[0.9980273,0.001084173,0.0003796367,0.0001357194,0.0002325028,0.0001407213],"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":[0.00005285937,0.00006224538,0.0008832947,0.00007314475,0.00003792058,0.0003421652,0.0001995215,0.7017258,0.001532545,0.2891521,0.001105575,0.004832823],"study_design_scores_gemma":[0.000006082575,0.00001462946,0.00007989423,0.000003652496,0.000004974871,0.00002617442,0.0000130373,0.9825042,0.0000485105,0.01684038,0.0004514797,0.000007045488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08543365,0.0008169347,0.9011863,0.001002251,0.0001894628,0.0001373707,0.000360221,0.0002019253,0.01067185],"genre_scores_gemma":[0.9290406,0.001300486,0.04753455,0.0001830104,0.0001551978,0.0003845613,0.0003114088,0.00004772663,0.02104255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008573849,"threshold_uncertainty_score":0.01704788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044831126816721,"score_gpt":0.3920403987241712,"score_spread":0.1875572860424992,"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."}}