{"id":"W2306278401","doi":"10.1111/capa.12169","title":"Pre‐existing condition: Taking media coverage into account when preparing for H1N1","year":2016,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Globe; Media coverage; Government (linguistics); Business; Public relations; Coronavirus disease 2019 (COVID-19); Internet privacy; Political science; Psychology; Medicine; Computer science; Sociology; Media studies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006409534,0.0003139398,0.0003087322,0.001634385,0.002903402,0.003484343,0.0007108171,0.001154145,0.003463288],"category_scores_gemma":[0.04441142,0.0002633372,0.0003522609,0.0006441081,0.001439335,0.001974054,0.001570271,0.001996289,0.0002849574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004726494,"about_ca_system_score_gemma":0.006072561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09715331,"about_ca_topic_score_gemma":0.1608346,"domain_scores_codex":[0.9953309,0.002274518,0.000242959,0.0001572058,0.001322697,0.0006716275],"domain_scores_gemma":[0.9817743,0.008824257,0.004030304,0.0004020447,0.002663223,0.002305914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004225899,0.001002339,0.7820887,0.0002540478,0.0001453154,0.001326729,0.05352008,0.0005368535,0.0008005555,0.002161373,0.00662669,0.1511148],"study_design_scores_gemma":[0.00001970434,0.0005100257,0.8751279,0.0005866708,0.0001822243,0.0005050528,0.1024393,0.002143686,0.0007080367,0.002567729,0.01511563,0.00009397529],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935682,0.002250926,0.0008936205,0.02346749,0.0004022853,0.0001249769,0.0001405958,0.00002082908,0.03701723],"genre_scores_gemma":[0.9979141,0.0005382253,0.0003980017,0.0004135692,0.0001128434,0.00001600942,0.00002620171,0.000004094132,0.0005768926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9028467,"threshold_uncertainty_score":0.1931756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05768620638299463,"score_gpt":0.3461359599921797,"score_spread":0.2884497536091851,"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."}}