{"id":"W3127166591","doi":"10.2196/23934","title":"Electronic Medical Record–Based Case Phenotyping for the Charlson Conditions: Scoping Review","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Medicine; MEDLINE; Comorbidity; Systematic review; Medical record; Medical emergency; Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04448757,0.00207039,0.006915421,0.044251,0.001491973,0.00508657,0.003330649,0.004136228,0.006279102],"category_scores_gemma":[0.212669,0.001686385,0.007041902,0.03928859,0.002034798,0.006373624,0.003259181,0.00190306,0.0009986964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007308294,"about_ca_system_score_gemma":0.02712715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009433125,"about_ca_topic_score_gemma":0.01615963,"domain_scores_codex":[0.9532943,0.01542438,0.02097687,0.002308844,0.007340053,0.000655401],"domain_scores_gemma":[0.754082,0.1830035,0.03556173,0.004569086,0.02192568,0.0008580221],"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":[0.0001038791,0.00003631354,0.001175284,0.8665331,0.002649834,0.0001213689,0.0005867277,0.0002063614,0.0001307806,0.001022013,0.005623335,0.121811],"study_design_scores_gemma":[0.00003210772,0.00004132073,0.001348115,0.9766511,0.005356058,0.0001435672,0.0002376139,0.00007713848,0.00007497367,0.0003078391,0.01571086,0.00001917832],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008142223,0.993112,0.0008874678,0.000973265,0.0003793555,0.001821374,0.0008645797,0.00002293082,0.001124665],"genre_scores_gemma":[0.006972337,0.9850466,0.003226361,0.0007713987,0.0002377874,0.002736311,0.0008241882,0.00001299139,0.0001719781],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04448757,"threshold_uncertainty_score":0.2352756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03062396636543229,"score_gpt":0.3893420425095209,"score_spread":0.3587180761440886,"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."}}