{"id":"W4385605157","doi":"10.1016/j.cmi.2023.07.029","title":"‘Evaluating the use of 18F-FDG PET/CT in the workup of Staphylococcus aureus bacteraemia: a cost-utility analysis’—Author's reply","year":2023,"lang":"en","type":"letter","venue":"Clinical Microbiology and Infection","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Health Sciences Centre; Toronto Rehabilitation Institute; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Staphylococcus aureus; Medicine; Positron emission tomography; Bacteremia; Nuclear medicine; Microbiology; Biology; Bacteria; Antibiotics","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002327248,0.0002607144,0.0007676817,0.0002074677,0.00009595468,0.00002192179,0.0002007688,0.000194761,0.00002705637],"category_scores_gemma":[0.0011505,0.0001704313,0.0003766695,0.0007355402,0.0004657507,0.00009967755,0.00008187179,0.002784464,0.000005855624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991264,"about_ca_system_score_gemma":0.00002892758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009799992,"about_ca_topic_score_gemma":0.0001213798,"domain_scores_codex":[0.9969287,0.00112414,0.001186391,0.0004011766,0.00005880081,0.0003008199],"domain_scores_gemma":[0.9944496,0.004467951,0.0003874726,0.0005833196,0.00009217895,0.00001950635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004642022,0.0003768685,0.5601716,0.001506198,0.005544479,0.0003443687,0.0007992953,0.06297012,0.01281874,0.00004507022,0.3031709,0.05178808],"study_design_scores_gemma":[0.001898467,0.00096565,0.3293141,0.0007370973,0.003638696,0.0002397811,0.0001682661,0.02784509,0.0007007283,0.00111197,0.6321832,0.001197007],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986042,0.0003418947,0.001446318,0.010134,0.001124843,0.0006532701,0.0001192077,0.00009345893,0.00004496336],"genre_scores_gemma":[0.9689209,0.0006994707,0.0003011463,0.02865437,0.0006882276,0.00008591375,0.000495951,0.00004574178,0.000108214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3290122,"threshold_uncertainty_score":0.9995161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1326496961881242,"score_gpt":0.3880503079883754,"score_spread":0.2554006118002512,"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."}}