{"id":"W3153218367","doi":"10.1186/s13223-021-00541-6","title":"Leveraging unstructured data to identify hereditary angioedema patients in electronic medical records","year":2021,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Coagulation, Bradykinin, Polyphosphates, and Angioedema","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shire Human Genetic Therapies","keywords":"Medicine; Cohort; Retrospective cohort study; Hereditary angioedema; Medical record; Diagnosis code; Pediatrics; Angioedema; Internal medicine; Dermatology; Population","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01529694,0.0003488099,0.000427077,0.005958131,0.0003832109,0.002022693,0.0007399666,0.000477437,0.0006687081],"category_scores_gemma":[0.07772885,0.0002615631,0.0006003527,0.003580352,0.0004345408,0.001354137,0.001802951,0.0005332962,0.0002086442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271002,"about_ca_system_score_gemma":0.0008951843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003060733,"about_ca_topic_score_gemma":0.00445248,"domain_scores_codex":[0.9827063,0.008688133,0.003289024,0.001520609,0.003260555,0.000535365],"domain_scores_gemma":[0.8699348,0.07124529,0.03901282,0.00931591,0.009204576,0.001286612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001400051,0.00003575206,0.9911336,0.0000834458,0.00007659068,0.00009914085,0.0003652613,0.0003555109,0.000214076,0.0001049226,0.0002389822,0.007152765],"study_design_scores_gemma":[0.00004244627,0.0003077661,0.978626,0.0003525127,0.0001635354,0.0008345216,0.00186461,0.01302757,0.00135969,0.0008043728,0.002579217,0.0000376904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883226,0.0006085185,0.004726561,0.0003636038,0.00003589865,0.000408655,0.004316409,0.00004276321,0.001174946],"genre_scores_gemma":[0.9864404,0.0002068625,0.008767119,0.0001045434,0.00005055368,0.0001497723,0.004189816,0.000007162546,0.00008375898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01529694,"threshold_uncertainty_score":0.08089888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727172531821043,"score_gpt":0.3574505177671393,"score_spread":0.3201787924489289,"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."}}