{"id":"W1558250787","doi":"10.1111/j.1750-2659.2011.00297.x","title":"Invasive bacterial infections following influenza: a time‐series analysis in Montréal, Canada, 1996–2008","year":2011,"lang":"en","type":"article","venue":"Influenza and Other Respiratory Viruses","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut National de Santé Publique du Québec; McGill University","funders":"","keywords":"Streptococcus pyogenes; Streptococcus pneumoniae; Haemophilus influenzae; Incidence (geometry); Neisseria meningitidis; Seasonal influenza; Medicine; Influenza-like illness; Microbiology; Biology; Immunology; Virology; Internal medicine; Staphylococcus aureus; Virus; Antibiotics; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Bacteria","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":[0.001050264,0.0007145736,0.0004709057,0.001294737,0.001041052,0.00106843,0.001681588,0.000535325,0.002882618],"category_scores_gemma":[0.002613486,0.0004069186,0.000947843,0.004645335,0.0005598939,0.0004212718,0.000780598,0.0008806411,0.0003576956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03849176,"about_ca_system_score_gemma":0.02737347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9969547,"about_ca_topic_score_gemma":0.9958333,"domain_scores_codex":[0.9992993,0.00008925579,0.00004901347,0.000168379,0.0001786397,0.0002154229],"domain_scores_gemma":[0.9978732,0.0001295306,0.0004864479,0.00009149542,0.001047971,0.0003714063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001949111,0.0000410242,0.9873723,0.00009135697,0.0003582147,0.0001501345,0.0002789108,0.001452201,0.0002888436,0.0001676312,0.005195851,0.004408625],"study_design_scores_gemma":[0.00001288322,0.00002184111,0.9972436,0.0000194419,0.00006242548,0.00002479702,0.0002435668,0.001147077,0.00003972511,0.00001115163,0.00116092,0.00001246781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352921,0.002484129,0.0007031816,0.00123405,0.00006531009,0.0001563333,0.05720531,0.00007181069,0.002787727],"genre_scores_gemma":[0.9831572,0.0008641577,0.0004576646,0.0001403515,0.00002402112,0.00007079996,0.01328491,0.00001652196,0.001984387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03849176,"threshold_uncertainty_score":0.2792786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05228144941408151,"score_gpt":0.277140979858821,"score_spread":0.2248595304447394,"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."}}