{"id":"W4402360387","doi":"10.2196/60503","title":"Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach","year":2024,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Kaiser Permanente","keywords":"Medicine; Regurgitation (circulation); Stenosis; Pulmonic stenosis; Internal medicine; Cardiology; Mitral regurgitation; valvular heart disease; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800771,0.0001215021,0.0002960093,0.00008494118,0.0001288249,0.00009151411,0.00002719348,0.00004493747,6.250769e-7],"category_scores_gemma":[0.00001177484,0.00008058652,0.0003957607,0.000242896,0.00003934732,0.0002264338,0.00002317094,0.0001306048,7.114434e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002433996,"about_ca_system_score_gemma":0.00008342814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001966376,"about_ca_topic_score_gemma":0.00002285944,"domain_scores_codex":[0.9990313,0.0001277384,0.0001935884,0.0002521084,0.0002754829,0.0001197865],"domain_scores_gemma":[0.9995468,0.00001393774,0.00007410571,0.0001782793,0.0001049137,0.00008194801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002379914,0.00008958254,0.8488491,0.009904936,0.001311273,0.00003532613,0.08704127,0.00009071305,0.00007722589,0.00004743375,0.0002394395,0.05207573],"study_design_scores_gemma":[0.0003939419,0.00005821042,0.9164763,0.0007948434,0.0005711742,0.0000362036,0.0792641,0.002308876,0.00001691677,0.000001287434,0.000005974507,0.00007214356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856831,0.0129587,0.00006709588,0.00002662417,0.0001698379,0.0008416615,0.00006664936,0.0001070776,0.00007928444],"genre_scores_gemma":[0.9989086,0.000007025582,0.0002910537,0.00002493533,0.00008319504,0.00006435627,0.0005764464,0.00001912227,0.0000252525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06762724,"threshold_uncertainty_score":0.3286223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704751699582007,"score_gpt":0.3490474470183462,"score_spread":0.3319999300225261,"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."}}