{"id":"W2922866460","doi":"10.1371/journal.pone.0213898","title":"Optimal media reporting intensity on mitigating spread of an emerging infectious disease","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mathematical and Theoretical Epidemiology and Ecology Models","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Outbreak; Intensity (physics); Basic reproduction number; Mass media; Optimal control; Media coverage; Pontryagin's minimum principle; Maximum principle; Computer science; Mathematics; Medicine; Environmental health; Mathematical optimization; Virology; Physics; Business; Advertising","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":[0.002265517,0.001020084,0.000775459,0.0007406693,0.000343768,0.001048532,0.001401706,0.001076275,0.001299251],"category_scores_gemma":[0.00970645,0.0003680552,0.0005912472,0.000426704,0.0009317966,0.001701341,0.00126164,0.0007478341,0.0001376382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044227,"about_ca_system_score_gemma":0.001010016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686939,"about_ca_topic_score_gemma":0.00130225,"domain_scores_codex":[0.9987823,0.000626007,0.00004351131,0.000181258,0.0001370107,0.0002298815],"domain_scores_gemma":[0.9951048,0.002913957,0.001169285,0.000202647,0.0004132788,0.0001959844],"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":[0.0004669299,0.0002947388,0.006747645,0.0004639196,0.0001802357,0.0004978714,0.0002192139,0.8940407,0.01394515,0.04452896,0.001318038,0.03729669],"study_design_scores_gemma":[0.00004750535,0.0003307915,0.00264649,0.00004126384,0.0001474096,0.00009542054,0.0001253083,0.9814422,0.002441901,0.01179864,0.0008436342,0.00003948979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4950185,0.002338413,0.4860785,0.002116102,0.0002146503,0.0002312747,0.0002164474,0.0002993355,0.01348672],"genre_scores_gemma":[0.9893073,0.000589045,0.00864943,0.00008720062,0.00006052862,0.00005843936,0.00002308249,0.0000113,0.001213712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002686939,"threshold_uncertainty_score":0.01198131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06264082697060788,"score_gpt":0.3012369447950611,"score_spread":0.2385961178244533,"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."}}