{"id":"W2952338441","doi":"10.1017/ice.2019.154","title":"Antimicrobial utilization data: Does point prevalence data correlate with defined daily doses?","year":2019,"lang":"en","type":"article","venue":"Infection Control and Hospital Epidemiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; Université de Montréal; McGill University; McMaster University","funders":"","keywords":"Medicine; Defined daily dose; Antimicrobial; Emergency medicine; Environmental health; Drug; Microbiology; Biology; Pharmacology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095806,0.0002432461,0.000597888,0.00007279242,0.0001974495,0.00001651521,0.0003729385,0.000359318,0.0001924893],"category_scores_gemma":[0.0006118363,0.0001524124,0.00003907637,0.00009672217,0.0004104422,0.0005042836,0.0002915666,0.0003399577,0.0003052737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001632378,"about_ca_system_score_gemma":0.00006194912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005881962,"about_ca_topic_score_gemma":0.0002569224,"domain_scores_codex":[0.9977276,0.0004657712,0.000478155,0.0008879897,0.0000264642,0.0004140089],"domain_scores_gemma":[0.9976791,0.0007813079,0.0003549984,0.001065599,0.00008214418,0.00003684031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007457342,0.0002286281,0.97365,0.0002131351,0.0004697045,0.000006903867,0.00008083416,0.00006540833,0.00621814,0.00344611,0.009243195,0.005632218],"study_design_scores_gemma":[0.006712422,0.001170232,0.9362236,0.0002668088,0.0004036173,0.0002157452,0.00005806516,0.002208789,0.0002265377,0.0005282073,0.0513703,0.0006157071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556693,0.006709355,0.02809372,0.00373704,0.003491799,0.0009095601,0.000659721,0.000185625,0.0005438983],"genre_scores_gemma":[0.993726,0.003075234,0.0002131717,0.0009274196,0.00008596237,0.000004374793,0.0009535571,0.00001785393,0.0009964904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0421271,"threshold_uncertainty_score":0.6215198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02775048642292232,"score_gpt":0.2751839012035476,"score_spread":0.2474334147806252,"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."}}