{"id":"W1997847487","doi":"10.1038/srep07838","title":"Media impact switching surface during an infectious disease outbreak","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Mitacs; National Natural Science Foundation of China","keywords":"Outbreak; Transmission (telecommunications); Infectious disease (medical specialty); Piecewise; Disease; Attack rate; Computer science; Medicine; Mathematics; Virology; Telecommunications; Internal medicine","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":[0.001233641,0.0005394848,0.0005827614,0.0009285211,0.000391221,0.001115344,0.0007540833,0.001197445,0.003034602],"category_scores_gemma":[0.005501614,0.0002598822,0.0007004428,0.0003000977,0.001089405,0.001325892,0.0008852422,0.0009800433,0.0001737044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371034,"about_ca_system_score_gemma":0.0005019163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007581642,"about_ca_topic_score_gemma":0.002342007,"domain_scores_codex":[0.9995555,0.0001552068,0.00001953818,0.00007415479,0.0000594891,0.0001360939],"domain_scores_gemma":[0.9973933,0.001761164,0.0003476914,0.0001030562,0.0002096352,0.0001852904],"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":[0.0004042936,0.0002013219,0.02149629,0.0001117732,0.00007522478,0.0008056487,0.0004019393,0.9273736,0.009783076,0.02495667,0.001326033,0.01306409],"study_design_scores_gemma":[0.00001174049,0.00009069855,0.005624482,0.00001049203,0.00002641911,0.00004671959,0.0002008775,0.988427,0.0008038083,0.004453319,0.000287351,0.00001710586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349288,0.0001926309,0.05448875,0.0009273752,0.00006081191,0.00009692716,0.0002657108,0.0002238903,0.00881496],"genre_scores_gemma":[0.9976701,0.00005074315,0.001150579,0.00003248048,0.00001010023,0.00001828678,0.00004974295,0.000006897479,0.001010921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007581642,"threshold_uncertainty_score":0.01507503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1713497386300202,"score_gpt":0.4137375903873935,"score_spread":0.2423878517573733,"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."}}