{"id":"W1968335419","doi":"10.1186/1471-2458-13-16","title":"Ascertainment of chronic diseases using population health data: a comparison of health administrative data and patient self-report","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":244,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Institute for Clinical Evaluative Sciences; Élisabeth Bruyère Hospital","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Medicine; Stroke (engine); Myocardial infarction; Population; Concordance; Biostatistics; COPD; Epidemiology; Heart failure; Cohen's kappa; Diabetes mellitus; Public health; Emergency medicine; Physical therapy; Internal medicine; Environmental health; Pathology","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":[0.001683035,0.0002364031,0.001219995,0.0001750805,0.0001726563,0.00003665579,0.0003750706,0.00004822367,0.00005314978],"category_scores_gemma":[0.0004865425,0.0002135167,0.00004226154,0.0003552643,0.0001100474,0.0006328931,0.0005350389,0.0001531833,0.000002627579],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103596,"about_ca_system_score_gemma":0.01087691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01375378,"about_ca_topic_score_gemma":0.001590161,"domain_scores_codex":[0.9950548,0.0006446625,0.002053783,0.0008177168,0.0007940221,0.0006349886],"domain_scores_gemma":[0.9938276,0.0001432741,0.002283848,0.002514733,0.0002046735,0.001025834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004449092,0.002240349,0.9103139,0.004100079,0.0001346494,0.00000300321,0.000861516,0.00001443566,0.000004247964,0.0001288049,0.01397252,0.06818201],"study_design_scores_gemma":[0.001227537,0.001554764,0.9443028,0.0004363215,0.00003078325,0.00004096867,0.001398143,0.04016893,0.000001610445,0.00002198993,0.01065051,0.0001656602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948858,0.01694027,0.005059105,0.01600821,0.000269201,0.00505505,0.007602028,0.0001730312,0.00003506543],"genre_scores_gemma":[0.9701858,0.0002730056,0.008821676,0.0007654461,0.00007928517,0.00002308261,0.0198184,0.00002881598,0.000004542141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06801634,"threshold_uncertainty_score":0.9947305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1825045158645577,"score_gpt":0.4437111929780997,"score_spread":0.2612066771135421,"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."}}