{"id":"W4402405698","doi":"10.23889/ijpds.v9i5.2759","title":"Automated Translation of Chronic Disease Diagnosis Codes using the ChatGPT Large Language Model","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Translation (biology); Computer science; Natural language processing; Artificial intelligence; Biology; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002531379,0.00009423358,0.0001103514,0.000282476,0.001058266,0.000118208,0.001233527,0.00005166641,0.0001120362],"category_scores_gemma":[0.0009448582,0.00006777508,0.00005762106,0.0003906569,0.0001294233,0.001799874,0.0001880781,0.0003007433,0.00001149611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458572,"about_ca_system_score_gemma":0.001203273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008129298,"about_ca_topic_score_gemma":0.0009803289,"domain_scores_codex":[0.9977486,0.0001199066,0.0007021204,0.0002897725,0.000825474,0.0003140898],"domain_scores_gemma":[0.9980965,0.0005387819,0.0002814198,0.0003668155,0.0005926634,0.0001237678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005518604,0.0004354743,0.2508958,0.001324988,0.0002642267,0.00006004764,0.03327613,0.3897322,0.01620952,0.1433514,0.009994533,0.1539038],"study_design_scores_gemma":[0.00008200587,0.000013091,0.003229447,0.0004930114,0.00002485671,0.000003987988,0.000682431,0.9914078,0.0001013437,0.002373549,0.001518218,0.00007033287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7720582,0.002316551,0.2052,0.006968468,0.007614818,0.001145853,0.004427989,0.0002190797,0.00004904385],"genre_scores_gemma":[0.9964847,0.0001343939,0.002051304,0.0001709998,0.0007145104,0.00003383537,0.0003496313,0.00001542663,0.00004522626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6016755,"threshold_uncertainty_score":0.8139431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3177744728558257,"score_gpt":0.5882422206241901,"score_spread":0.2704677477683644,"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."}}