{"id":"W2125730921","doi":"10.1503/cmaj.091545","title":"Preparing for pandemic (H1N1) 2009","year":2009,"lang":"en","type":"editorial","venue":"Canadian Medical Association Journal","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Influenza pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Adversary; Pandemic influenza; Human mortality from H5N1; Virology; Influenza A virus; H1n1 pandemic; Medicine; Virus; Computer science; Computer security; Outbreak; Infectious disease (medical specialty); Disease; Pathology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01068975,0.004332697,0.003139699,0.002464103,0.00375833,0.006685662,0.003985,0.01865301,0.009230862],"category_scores_gemma":[0.03594958,0.001396423,0.002694966,0.001338237,0.002895596,0.005201508,0.001283246,0.03060439,0.008455764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004351925,"about_ca_system_score_gemma":0.00398809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004177003,"about_ca_topic_score_gemma":0.01312059,"domain_scores_codex":[0.9957027,0.0009507971,0.0006916899,0.0004488998,0.001924576,0.0002813597],"domain_scores_gemma":[0.9750419,0.01222411,0.0009482246,0.0006143874,0.008417482,0.002753985],"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":[0.00003545381,0.00001336925,0.00002510089,0.0001926549,0.00001194738,0.00008507271,0.00001719787,0.00001646712,0.00003525414,0.0002004232,0.9953743,0.003992704],"study_design_scores_gemma":[0.00009887359,0.00004964304,0.0005288959,0.0006476276,0.00006835983,0.0002672978,0.00009593444,0.0001684837,0.000148043,0.0008956083,0.9970052,0.00002603339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002060438,0.002609527,0.00005207237,0.02468986,0.9718367,0.00001758372,0.00002451512,0.00002117481,0.0007278859],"genre_scores_gemma":[0.0004368544,0.004921443,0.0001370376,0.03119077,0.9563069,0.00003158706,0.00003137617,0.00003046645,0.006913695],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01865301,"threshold_uncertainty_score":0.05653346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02557603570048077,"score_gpt":0.3602541203023157,"score_spread":0.334678084601835,"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."}}