{"id":"W2113804969","doi":"10.1007/s11009-013-9325-z","title":"Applications of the Variance of Final Outbreak Size for Disease Spreading in Networks","year":2013,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Outbreak; Mathematics; Random graph; Statistics; Epidemic model; Population; Transmission (telecommunications); Variance (accounting); Econometrics; Graph; Combinatorics; Demography; Computer science; Medicine","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":[0.001588104,0.00009446578,0.0003257673,0.0000294431,0.00005257667,0.000005383305,0.0001984305,0.00004296943,0.0000178539],"category_scores_gemma":[0.0000528664,0.00007791296,0.00007078396,0.000280294,0.0001773829,0.00001416345,0.000157568,0.0001558025,1.060294e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001317084,"about_ca_system_score_gemma":0.00002586103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002588295,"about_ca_topic_score_gemma":0.00002277362,"domain_scores_codex":[0.9987955,0.0003257683,0.0004146339,0.0002570754,0.00004127167,0.000165749],"domain_scores_gemma":[0.9968612,0.002556137,0.0002120013,0.0003049239,0.00004048095,0.00002521162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005439697,0.0001794787,0.6770968,0.00008416546,0.00002245368,1.306845e-8,0.0001631035,0.01433757,0.0003330787,0.1950722,0.00001066865,0.112646],"study_design_scores_gemma":[0.0002223092,0.000007202788,0.3311614,0.00002275986,0.00001952579,5.479487e-8,0.00002780608,0.05734038,0.0002052928,0.6108974,0.00002909793,0.00006672658],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3284711,0.00002767929,0.6702269,0.00005496652,0.00001151506,0.0008811301,0.000002548033,0.000007786123,0.0003163334],"genre_scores_gemma":[0.8266411,5.123771e-7,0.173009,0.00001629241,0.00003420201,0.0002877135,0.000002275173,0.000004031941,0.000004779232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.49817,"threshold_uncertainty_score":0.3177198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04428539404927821,"score_gpt":0.3096334673838745,"score_spread":0.2653480733345963,"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."}}