{"id":"W2061065810","doi":"10.1371/journal.pone.0089651","title":"Antiviral Strategies for Emerging Influenza Viruses in Remote Communities","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; York University","funders":"Canadian Institutes of Health Research; Public Health Agency; Compute Canada; Public Health Agency of Canada","keywords":"Population; Pandemic; Medicine; Antiviral treatment; Environmental health; Disease; Coronavirus disease 2019 (COVID-19); Immunology; Infectious disease (medical specialty); Virus; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001150245,0.0005045893,0.0003382662,0.0003996541,0.0007508004,0.0007116483,0.001091329,0.0004927266,0.002560946],"category_scores_gemma":[0.002153266,0.0001124407,0.0005126186,0.0002472211,0.0005241715,0.0004129327,0.0007079702,0.0003978666,0.000151822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00405137,"about_ca_system_score_gemma":0.008331452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3578478,"about_ca_topic_score_gemma":0.4477866,"domain_scores_codex":[0.9995796,0.0002268315,0.000008659549,0.00003287949,0.00006611631,0.00008581355],"domain_scores_gemma":[0.9995266,0.0001691534,0.00008357395,0.00001467372,0.00008194412,0.0001240585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001719264,0.002115238,0.1992277,0.002518799,0.0008503383,0.002835265,0.003690323,0.6174194,0.01509047,0.02669996,0.00587162,0.1219618],"study_design_scores_gemma":[0.002477072,0.008129681,0.1743996,0.001224993,0.0009090075,0.001367856,0.01052393,0.7256643,0.00586933,0.03526019,0.03398081,0.0001931901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658058,0.004334672,0.01095935,0.001780449,0.00004778377,0.0005327628,0.0003246547,0.00008648216,0.01612802],"genre_scores_gemma":[0.9927307,0.001409143,0.004588661,0.0001234267,0.000009591031,0.00007289131,0.0001036216,0.000003762825,0.0009582127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3578478,"threshold_uncertainty_score":0.7115297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2627436344037016,"score_gpt":0.4004720268782624,"score_spread":0.1377283924745608,"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."}}