{"id":"W4409346864","doi":"10.1093/ofid/ofaf005","title":"Frequency, Antimicrobial Susceptibility, and Molecular Characterization of Carbapenem-Resistant Enterobacterales Stratified by United States Census Divisions: Results From the INFORM Program (2018–2022)","year":2025,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"AbbVie Canada","keywords":"Medicine; Census; Carbapenem; Antimicrobial; Family medicine; Gerontology; Environmental health; Microbiology; Antibiotics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005091829,0.0004015495,0.0002442254,0.002172915,0.0002055947,0.0005360254,0.000458776,0.0003532206,0.002100105],"category_scores_gemma":[0.001365211,0.0002294549,0.0003998184,0.002153121,0.0001956904,0.000629626,0.0007118104,0.0002970803,0.000526446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005264173,"about_ca_system_score_gemma":0.0003770625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02585219,"about_ca_topic_score_gemma":0.0275084,"domain_scores_codex":[0.9994438,0.00009547477,0.00007924653,0.0001430736,0.0001370253,0.0001013429],"domain_scores_gemma":[0.9983398,0.0001634783,0.0007984184,0.00009382934,0.0003570823,0.0002474621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005795863,0.00001791144,0.9987708,0.000007535216,0.00002003417,0.00001560093,0.00002519137,0.00004325182,0.0001361812,0.000008731805,0.000302126,0.0005945693],"study_design_scores_gemma":[0.000002753521,0.00002374031,0.9993532,0.000004453825,0.00000743394,0.00004555205,0.0001414317,0.0001084952,0.000095102,0.000003689552,0.0002126756,0.000001467476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98291,0.0001966878,0.000130671,0.00005071779,0.000006767992,0.00001906766,0.01573979,0.00002108192,0.0009252036],"genre_scores_gemma":[0.9833691,0.0001410829,0.0001350587,0.00003795978,0.0000136811,0.00002763064,0.01567761,0.000008335477,0.0005894791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02585219,"threshold_uncertainty_score":0.05140346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006225956355654741,"score_gpt":0.2573777247914877,"score_spread":0.251151768435833,"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."}}