{"id":"W2607431720","doi":"10.23889/ijpds.v1i1.232","title":"Chronic Disease Case Definitions for Electronic Medical Records: A Canadian Validation Study","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Manitoba Health; University of Manitoba","funders":"","keywords":"Medicine; Medical record; COPD; Medical prescription; Cohort; Depression (economics); Medical diagnosis; Diagnosis code; Population; Prescription drug; Family medicine; Cohort study; Emergency medicine; Internal medicine; Environmental health","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":[],"consensus_categories":[],"category_scores_codex":[0.02481746,0.001160625,0.0008283328,0.004249941,0.006145709,0.002773556,0.00457139,0.00100746,0.002750988],"category_scores_gemma":[0.05854833,0.00101743,0.001591553,0.007266343,0.002014764,0.001387978,0.003184139,0.001512758,0.0006501749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04389938,"about_ca_system_score_gemma":0.05700661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722306,"about_ca_topic_score_gemma":0.9694289,"domain_scores_codex":[0.9810055,0.003561634,0.001697946,0.002386202,0.009505891,0.001842762],"domain_scores_gemma":[0.9284908,0.008890757,0.008068943,0.005671632,0.04648989,0.002387939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002200807,0.0002573103,0.9810047,0.0002292313,0.0001622614,0.0001509677,0.002354524,0.0002580388,0.0001471721,0.0005867697,0.004483808,0.01014512],"study_design_scores_gemma":[0.0001304992,0.000109676,0.9902208,0.0002053323,0.0001148166,0.0001663217,0.001647825,0.001368837,0.0001849318,0.0001089409,0.005692522,0.00004956018],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658412,0.001422975,0.003278211,0.0008867756,0.00009514057,0.00364947,0.01640384,0.00006648885,0.008355996],"genre_scores_gemma":[0.9705964,0.001111201,0.005703918,0.0008775395,0.00004528619,0.001821069,0.01807051,0.00005475622,0.001719332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04389938,"threshold_uncertainty_score":0.3185138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1941695374442076,"score_gpt":0.4717277100829821,"score_spread":0.2775581726387745,"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."}}