{"id":"W2895651163","doi":"10.1017/ice.2018.238","title":"Challenging the assertion of comparability of surveillance and administrative data","year":2018,"lang":"en","type":"letter","venue":"Infection Control and Hospital Epidemiology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital; Island Health; Vancouver Coastal Health; Interior Health; Provincial Health Services Authority","funders":"","keywords":"Comparability; Assertion; Computer science; Content (measure theory); Information retrieval; Action (physics); Database; Internet privacy; Mathematics; Programming language","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":[0.007118837,0.0001642755,0.0009331247,0.00006554312,0.0003764337,0.000001939155,0.0001409738,0.0007829862,0.00004475626],"category_scores_gemma":[0.006918013,0.0001058765,0.00004403412,0.00005950335,0.0005881725,0.0001019151,0.0001053806,0.001523202,0.000006008897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003189147,"about_ca_system_score_gemma":0.0001542889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503594,"about_ca_topic_score_gemma":0.0002544008,"domain_scores_codex":[0.9953013,0.002588425,0.001373626,0.0003022572,0.0001144505,0.0003199511],"domain_scores_gemma":[0.9867837,0.0108408,0.001552867,0.0004563733,0.0003037471,0.00006247142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001495336,0.00003538242,0.5813986,0.003405283,0.0001543235,6.630418e-7,0.001235833,0.000004380649,0.000002252453,0.00171027,0.4063284,0.005575131],"study_design_scores_gemma":[0.0009378499,0.000797678,0.7127829,0.0003074083,0.00005295189,0.000003269135,0.0001301065,0.01031476,3.635114e-7,0.002371998,0.2721575,0.0001432562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.09254483,0.001533186,0.01027702,0.8900568,0.002113851,0.001587313,0.0004229497,0.00005212594,0.001411865],"genre_scores_gemma":[0.9050851,0.001115404,0.00005660772,0.09178127,0.001585928,0.00006148607,0.0002707766,0.000008370819,0.00003505428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8125403,"threshold_uncertainty_score":0.8282007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4370936433199221,"score_gpt":0.5111520812028726,"score_spread":0.07405843788295047,"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."}}