{"id":"W2888271319","doi":"10.1093/jamia/ocy094","title":"Identification of validated case definitions for medical conditions used in primary care electronic medical record databases: a systematic review","year":2018,"lang":"en","type":"review","venue":"Journal of the American Medical Informatics Association","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of British Columbia; University of Alberta; University of Calgary","funders":"","keywords":"Metric (unit); MEDLINE; Medicine; Diagnosis code; Medical record; Identification (biology); Systematic review; Primary care; Electronic medical record; Data mining; Computer science; Database; Information retrieval; Family medicine; Population","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02846063,0.0003831865,0.004222957,0.000593554,0.000539822,0.00002020434,0.001236715,0.0008173478,0.0003026242],"category_scores_gemma":[0.08370062,0.0002440632,0.0008639498,0.001523567,0.0002875129,0.000376447,0.0002266357,0.003702085,0.00006903492],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003949043,"about_ca_system_score_gemma":0.01852252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009341756,"about_ca_topic_score_gemma":0.0003167421,"domain_scores_codex":[0.9783623,0.003465871,0.01249162,0.000158965,0.004758687,0.0007625347],"domain_scores_gemma":[0.959954,0.009553282,0.02728756,0.0006612645,0.001825319,0.0007186045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001731597,0.0001204574,0.00007487636,0.9636821,0.0003753925,0.00001816887,0.001535081,2.756953e-7,2.992435e-8,0.0003656003,0.01884145,0.01496928],"study_design_scores_gemma":[0.001355982,0.0002717904,0.00001305165,0.9036645,0.003365806,0.0006401636,0.002603777,0.001045246,2.042737e-7,0.000107438,0.08662189,0.0003101813],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001030596,0.9678164,0.01094323,0.004246775,0.003042713,0.01099266,0.001414431,0.00007636751,0.0004367935],"genre_scores_gemma":[0.0002203061,0.9923881,0.0002885711,0.004984155,0.0004614983,0.0006178894,0.0009601099,0.00003944116,0.00003994089],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06778044,"threshold_uncertainty_score":0.9998746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1989905054992868,"score_gpt":0.5017041764263859,"score_spread":0.3027136709270991,"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."}}