{"id":"W2625132392","doi":"10.1093/ofid/ofx124","title":"Development and Assessment of a Physician-Specific Antimicrobial Usage and Spectrum Feedback Tool","year":2017,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; University Health Network","funders":"","keywords":"Antimicrobial stewardship; Medicine; Antimicrobial; Summative assessment; Intensive care medicine; Audit; Medical physics; Formative assessment; Antibiotics; Antibiotic resistance; Statistics","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":[0.00007999683,0.0001615486,0.0003151698,0.0000390829,0.0008757948,0.0001891937,0.0002657791,0.00007964711,0.00008285105],"category_scores_gemma":[0.00001193651,0.0001376698,0.00004269648,0.00002774951,0.0004052657,0.000250614,0.0005170456,0.000102521,0.00002814715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240864,"about_ca_system_score_gemma":0.00009992985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008811687,"about_ca_topic_score_gemma":0.0001476449,"domain_scores_codex":[0.999169,0.00003776694,0.0002065319,0.0002985577,0.00002943516,0.0002587249],"domain_scores_gemma":[0.9993578,0.00003078624,0.0002226527,0.0003354068,0.00002517499,0.0000281574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002691155,0.00124471,0.8184435,0.000241338,0.0007258392,0.00002902373,0.0003272747,0.000001238123,0.07774262,0.02466831,0.01286801,0.06343898],"study_design_scores_gemma":[0.002288311,0.0001377056,0.9106535,0.0002111714,0.00006535189,0.00002574319,0.0001741182,0.000001762353,0.02789322,0.0004945897,0.05774045,0.000314135],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829913,0.001040158,0.00008465331,0.000258434,0.0002768305,0.0003722732,0.0000693914,0.00002143905,0.01488557],"genre_scores_gemma":[0.9981332,0.0005022041,0.0002239188,0.00014448,0.00001594084,0.000007003189,0.00002939954,0.0000131854,0.0009306712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09220991,"threshold_uncertainty_score":0.6735994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323718588206379,"score_gpt":0.2714418851228109,"score_spread":0.2582046992407471,"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."}}