{"id":"W2322628079","doi":"10.1097/ede.0000000000000182","title":"Time-related Bias in Administrative Health Database Studies of Disease Incidence","year":2014,"lang":"en","type":"letter","venue":"Epidemiology","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; McGill University Health Centre","funders":"","keywords":"Medicine; Incidence (geometry); Disease; Inflammatory bowel disease; Disease surveillance; Medical prescription; MEDLINE; Data collection; Missing data; Database; Statistics; Computer science; Pathology","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":[0.1557716,0.0009912295,0.001869219,0.004479717,0.001633886,0.004709199,0.005315598,0.004874252,0.0035942],"category_scores_gemma":[0.5280181,0.0008658807,0.001778259,0.01006643,0.00320196,0.00271521,0.001541095,0.00561921,0.0007506125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005231697,"about_ca_system_score_gemma":0.007688233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06437778,"about_ca_topic_score_gemma":0.06376888,"domain_scores_codex":[0.8634118,0.08700898,0.01842055,0.005996429,0.0238065,0.001355611],"domain_scores_gemma":[0.3991776,0.4942807,0.03506166,0.01429191,0.05519533,0.001992777],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000550704,0.0000786005,0.1176669,0.004194494,0.003049823,0.0008233033,0.001385918,0.0014421,0.0001154192,0.007838486,0.7394596,0.1233946],"study_design_scores_gemma":[0.000776289,0.0003675513,0.1643536,0.01864067,0.005476294,0.003022459,0.00205903,0.01910836,0.001796607,0.03397872,0.7497893,0.0006311916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02302254,0.09393587,0.02638911,0.6689838,0.1717167,0.0005721177,0.008878092,0.0004699218,0.006031848],"genre_scores_gemma":[0.3075672,0.04828914,0.02512329,0.2951605,0.3146844,0.0007708445,0.002797508,0.0005707593,0.005036374],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8442284,"threshold_uncertainty_score":0.823809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4587459523427507,"score_gpt":0.5692003833674204,"score_spread":0.1104544310246697,"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."}}