{"id":"W2056563640","doi":"10.1371/journal.pone.0006681","title":"Estimating Sensitivity of Laboratory Testing for Influenza in Canada through Modelling","year":2009,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Respiratory viral infections research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Izaak Walton Killam Health Centre; Dalhousie University; Public Health Agency of Canada","funders":"","keywords":"Medicine; Poisson regression; Influenza A virus; Orthomyxoviridae; Diagnostic test; Environmental health; Virology; Statistics; Immunology; Virus; Veterinary medicine; Mathematics; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01091639,0.001140558,0.001165936,0.002076313,0.0009491104,0.002107684,0.002224645,0.0009174891,0.0012237],"category_scores_gemma":[0.0455362,0.0009815285,0.001664057,0.002349293,0.0009353315,0.0007628938,0.001050281,0.0009569364,0.0002095494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02552998,"about_ca_system_score_gemma":0.02105092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9529718,"about_ca_topic_score_gemma":0.8594013,"domain_scores_codex":[0.9953172,0.002122761,0.000259244,0.0008353779,0.0008840802,0.0005813336],"domain_scores_gemma":[0.9665239,0.02476682,0.002663898,0.001295117,0.004319988,0.0004303216],"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":[0.0003551232,0.00005347934,0.2084413,0.0002035116,0.0005984763,0.0001152647,0.0002266643,0.7663406,0.0003919276,0.001933355,0.001185218,0.02015512],"study_design_scores_gemma":[0.0000474961,0.00006772707,0.04889315,0.00008051361,0.0002244754,0.0000912524,0.00008818151,0.9462698,0.0004297293,0.002327251,0.001424148,0.00005634936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8848745,0.002807891,0.09417797,0.001415213,0.00005847803,0.0005397379,0.006661608,0.0008579526,0.008606764],"genre_scores_gemma":[0.9818262,0.0004252503,0.01508613,0.00008539401,0.000009677557,0.00007421806,0.001739269,0.00003016424,0.0007237267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04702818,"threshold_uncertainty_score":0.1852338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2013173891332946,"score_gpt":0.3560714964291617,"score_spread":0.1547541072958672,"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."}}