{"id":"W1985925012","doi":"10.1186/1471-2458-11-17","title":"Accuracy of syndrome definitions based on diagnoses in physician claims","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; McGill University Health Centre; McGill University; U.S. Department of Defense","keywords":"Medicine; Medical diagnosis; Diagnosis code; Biostatistics; Emergency department; Epidemiology; Family medicine; Pediatrics; Emergency medicine; Internal medicine; Pathology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005858454,0.0001361206,0.0004283799,0.0003248286,0.00004560984,0.000008985806,0.0001585306,0.00004946667,0.000272313],"category_scores_gemma":[0.0009602225,0.0001256741,0.00008833891,0.0005873594,0.00008171775,0.0001597605,0.0000312554,0.000172442,0.000128015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650101,"about_ca_system_score_gemma":0.001982365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758622,"about_ca_topic_score_gemma":0.0004803052,"domain_scores_codex":[0.9982975,0.0002364437,0.0004527261,0.0002804086,0.0002979533,0.0004349555],"domain_scores_gemma":[0.9981835,0.0004525598,0.000214674,0.0006714613,0.00008602922,0.0003917097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001947676,0.005889279,0.9462113,0.001307107,0.00003317619,0.0001231473,0.0006081326,0.000009825685,0.00001499045,0.01185861,0.008202244,0.02554743],"study_design_scores_gemma":[0.001391155,0.0004876689,0.9931552,0.0002878588,0.000005418402,0.000007409357,0.0001143662,0.0002478546,0.00001744916,0.0003318245,0.003848102,0.0001056505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695646,0.0002665255,0.0006618335,0.004579052,0.0001860527,0.001161223,0.0009559043,0.0002208782,0.02240392],"genre_scores_gemma":[0.9921929,0.00007288182,0.001939258,0.005232839,0.000031566,0.00008389376,0.0004090383,0.00002385155,0.00001374229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04694395,"threshold_uncertainty_score":0.512484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14606178403281,"score_gpt":0.3383411328457299,"score_spread":0.1922793488129199,"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."}}