{"id":"W4409323587","doi":"10.2196/68724","title":"Assessing the Dissemination of Federal Risk Communication by News Media Outlets During Enteric Illness Outbreaks: Canadian Content Analysis","year":2025,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Public Health Agency of Canada","funders":"","keywords":"Outbreak; News media; Public health; Medicine; Mass media; Government (linguistics); Health communication; Environmental health; Public relations; Advertising; Political science; Business; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.02139137,0.0007585074,0.00115749,0.05246047,0.004306633,0.004656076,0.002200568,0.0007501598,0.003298993],"category_scores_gemma":[0.1147838,0.0006945384,0.001863981,0.06447111,0.002413959,0.002374579,0.003824682,0.001002832,0.0003102314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05920466,"about_ca_system_score_gemma":0.1492232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9554402,"about_ca_topic_score_gemma":0.9629399,"domain_scores_codex":[0.9840768,0.002553001,0.003408031,0.001257527,0.007533336,0.00117132],"domain_scores_gemma":[0.870722,0.04514057,0.02249315,0.002840841,0.0560396,0.002763858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006902625,0.000217448,0.7199785,0.04001514,0.001290472,0.0006986897,0.08492468,0.0006826643,0.001336721,0.002487652,0.01707834,0.1305995],"study_design_scores_gemma":[0.000132156,0.0001369032,0.9120381,0.009401876,0.001640795,0.0001959814,0.03614977,0.001234564,0.0008196048,0.0002923987,0.03780271,0.0001552188],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7964034,0.02000546,0.003121766,0.004545786,0.0001721488,0.008389755,0.1473428,0.0001662242,0.01985267],"genre_scores_gemma":[0.9096479,0.01871585,0.01334964,0.0009328786,0.0001069688,0.006176865,0.04852754,0.000077559,0.002464842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05920466,"threshold_uncertainty_score":0.4295619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592377432936143,"score_gpt":0.3393073411880231,"score_spread":0.3133835668586617,"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."}}