{"id":"W2114961161","doi":"10.1086/430783","title":"Antimicrobial Resistance in<i>Haemophilus influenzae:</i>How Can We Prevent the Inevitable? Commentary on Antimicrobial Resistance in<i>H. influenzae</i>Based on Data from the TARGETed Surveillance Program","year":2005,"lang":"en","type":"review","venue":"Clinical Infectious Diseases","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Alberta Hospital Edmonton","funders":"Bayer HealthCare","keywords":"Haemophilus influenzae; Streptococcus pneumoniae; Medicine; Chronic bronchitis; Moraxella catarrhalis; Amp resistance; Microbiology; Respiratory tract infections; Antibiotic resistance; Intensive care medicine; Antimicrobial; Epidemiology; Empiric therapy; Drug resistance; Immunology; Antibiotics; Biology; Internal medicine; Respiratory system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003576827,0.001593628,0.003136144,0.002105792,0.0007975188,0.001961977,0.004065073,0.008237672,0.004062012],"category_scores_gemma":[0.01128696,0.0004928514,0.001364577,0.002985921,0.00207707,0.006146006,0.001037975,0.007915986,0.004075702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002722311,"about_ca_system_score_gemma":0.003857787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006250482,"about_ca_topic_score_gemma":0.01441402,"domain_scores_codex":[0.9978607,0.0007778805,0.0003369826,0.0001656273,0.0007475644,0.000111201],"domain_scores_gemma":[0.9917262,0.004140166,0.0007785256,0.0001460616,0.002808206,0.000400907],"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":[0.00005396072,0.00001348723,0.00005385789,0.005515947,0.0000439476,0.0002848585,0.00007788386,0.00008084279,0.00009634797,0.001731696,0.9319479,0.06009912],"study_design_scores_gemma":[0.00002758563,0.00003202248,0.0003424205,0.006815194,0.00004977964,0.000943693,0.0001236974,0.00003880445,0.00003678482,0.001956584,0.9896108,0.00002255896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.00005548217,0.8557003,0.0001231644,0.08822815,0.05417779,0.00001117937,0.0000448249,0.0000210781,0.001637926],"genre_scores_gemma":[0.0009972185,0.8052632,0.0003981142,0.1399001,0.04886815,0.0000370377,0.000104304,0.0000159169,0.004415985],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.008237672,"threshold_uncertainty_score":0.01975185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07081315227120162,"score_gpt":0.3857606907411555,"score_spread":0.3149475384699539,"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."}}