{"id":"W2981697338","doi":"10.1093/ofid/ofz360.2120","title":"2442. Detection of Prosthetic Hip and Knee Joint Infections Using Administrative Databases – A Validation Study","year":2019,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; University of Toronto","funders":"","keywords":"Medicine; Interquartile range; Diagnosis code; Confidence interval; Gold standard (test); Predictive value; Arthroplasty; Database; Medical record; Algorithm; Internal medicine; Surgery; Emergency medicine; Population","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01174051,0.0005272402,0.0004195923,0.00245004,0.0009241698,0.001722934,0.001532949,0.0006803261,0.001867744],"category_scores_gemma":[0.03567755,0.0006367465,0.0008172402,0.0026821,0.0008151633,0.0007968461,0.001007926,0.0005802006,0.001439147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002177611,"about_ca_system_score_gemma":0.003791337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1096574,"about_ca_topic_score_gemma":0.08325254,"domain_scores_codex":[0.9915433,0.002856325,0.001159404,0.001444099,0.002309417,0.0006873772],"domain_scores_gemma":[0.9590486,0.009489804,0.01360519,0.006089,0.009990602,0.00177677],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009261916,0.00005571612,0.9980912,0.00002566528,0.00006049913,0.00001964065,0.0000608148,0.00005716433,0.00006121502,0.00001949025,0.0002894869,0.00116659],"study_design_scores_gemma":[0.00003401233,0.00007652046,0.9979266,0.00003086483,0.00005386244,0.0001618067,0.0001019734,0.0007246373,0.0001508944,0.00001821214,0.0007137173,0.000006871299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891172,0.000281144,0.0007543541,0.0000891844,0.00001977679,0.0003095139,0.008189635,0.00002839462,0.001210809],"genre_scores_gemma":[0.9862091,0.0001130566,0.001253228,0.0001199172,0.0000304404,0.000204363,0.01175447,0.00001565746,0.0002998046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9882595,"threshold_uncertainty_score":0.2180383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0532770392579922,"score_gpt":0.3516387112166359,"score_spread":0.2983616719586437,"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."}}