{"id":"W4312221787","doi":"10.1016/j.eclinm.2022.101781","title":"Antimicrobial resistance and mortality following E. coli bacteremia","year":2022,"lang":"en","type":"article","venue":"EClinicalMedicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Health Sciences Centre; Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; Sinai Health System; Sunnybrook Health Science Centre","funders":"Canadian Institutes of Health Research; Ministry of Health -Singapore; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Cephalosporin; Odds ratio; Internal medicine; Bacteremia; Drug resistance; Antibiotics; Antibiotic resistance; Antimicrobial; Logistic regression; Microbiology; Biology","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":[0.0006604959,0.0002726584,0.0002668206,0.0005575792,0.0003002282,0.0005623992,0.0003590055,0.0003574391,0.001615101],"category_scores_gemma":[0.005228288,0.0001273509,0.0005033524,0.0007350579,0.0003278505,0.0002483186,0.000523763,0.000746482,0.0002270897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002174958,"about_ca_system_score_gemma":0.001748792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1520513,"about_ca_topic_score_gemma":0.1239018,"domain_scores_codex":[0.9993833,0.0001367588,0.00005699518,0.0000886119,0.0001717262,0.0001626267],"domain_scores_gemma":[0.9974064,0.0003321002,0.001298045,0.00006899513,0.0005441858,0.0003502935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008110947,0.0000109326,0.9979997,0.00002070927,0.00004011222,0.00003432037,0.00002310732,0.00009788028,0.00004433109,0.00001127807,0.0002258979,0.001410481],"study_design_scores_gemma":[0.000002503057,0.00003062384,0.9992883,0.00002191603,0.00002320802,0.0001085178,0.00005637181,0.0002559038,0.00002619598,0.00002679182,0.0001572569,0.000002512974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940229,0.001968188,0.0002121532,0.0006269673,0.00001999637,0.00001243744,0.001482985,0.00001776144,0.001636716],"genre_scores_gemma":[0.9986269,0.0003928256,0.00007228218,0.00004831254,0.00001807036,0.000004467113,0.0006986044,0.000002152102,0.0001363278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520513,"threshold_uncertainty_score":0.3023326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01888098053275245,"score_gpt":0.3096268293531376,"score_spread":0.2907458488203852,"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."}}