{"id":"W2890621114","doi":"10.14745/ccdr.v44i05a03","title":"Canadian Pandemic Influenza Preparedness: Communications strategy","year":2018,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Preparedness; Public relations; Pandemic; Credibility; Stakeholder; Government (linguistics); Public health; Health communication; Confidentiality; Business; Action plan; Political science; Medicine; Nursing; Coronavirus disease 2019 (COVID-19)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005741744,0.001486198,0.0003184737,0.002571171,0.007654304,0.004568666,0.002965224,0.00811816,0.0166598],"category_scores_gemma":[0.01340584,0.0006216451,0.0008170604,0.002340621,0.001448353,0.001915289,0.003523824,0.005098273,0.005177053],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08949799,"about_ca_system_score_gemma":0.4332887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9831088,"about_ca_topic_score_gemma":0.9797606,"domain_scores_codex":[0.9924241,0.0005990421,0.0001937605,0.0003159974,0.004507434,0.001959556],"domain_scores_gemma":[0.98707,0.0006128564,0.0003576688,0.0001848731,0.008121897,0.003652678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001513406,0.00002265427,0.0005522645,0.0001619519,0.000007681559,0.00008983252,0.0003296416,0.0003064501,0.0001941704,0.02325313,0.9511073,0.02395977],"study_design_scores_gemma":[0.0000110408,0.00001124384,0.002146406,0.0001123741,0.000005990002,0.00002382719,0.0002198542,0.0001831071,0.00008350648,0.000723195,0.9964592,0.00002037319],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003828047,0.01249372,0.005171694,0.4052823,0.00977663,0.002928668,0.02177693,0.001185899,0.5375561],"genre_scores_gemma":[0.08388701,0.02200028,0.03651119,0.2269025,0.002459636,0.0028536,0.02735703,0.0005383426,0.5974904],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.910502,"threshold_uncertainty_score":0.6493564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773650268123069,"score_gpt":0.3320838041622056,"score_spread":0.2843473014809749,"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."}}