{"id":"W2965976195","doi":"10.2196/11929","title":"Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health records; Observational study; Medicine; Electronic health record; Primary care; Medical record; Population; Incidence (geometry); Medical emergency; Health care; Emergency medicine; Family medicine; Environmental health; Surgery","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":[0.0009340989,0.0002125011,0.000470555,0.0001910293,0.00005539464,0.00003805158,0.0002002125,0.00008849146,0.0006365408],"category_scores_gemma":[0.0001764996,0.0001800191,0.00006812427,0.0004022799,0.00004998273,0.0002257103,0.00009169967,0.0006089029,0.00012615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185377,"about_ca_system_score_gemma":0.002897243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001096772,"about_ca_topic_score_gemma":0.00007259222,"domain_scores_codex":[0.9969341,0.00007258137,0.0009198233,0.0001726474,0.001392734,0.0005081026],"domain_scores_gemma":[0.9988263,0.0001808708,0.0002483178,0.0004228875,0.0000731184,0.000248533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001052384,0.004534259,0.9088407,0.01236844,0.000180435,0.00007415604,0.009354923,0.006899884,0.000001904755,0.002033269,0.01572435,0.03893535],"study_design_scores_gemma":[0.009429975,0.002142025,0.5319908,0.001139638,0.00002954894,0.000004067587,0.005508747,0.4479446,0.000002036155,0.00007374774,0.001497915,0.0002368978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980554,0.00004783579,0.0003967962,0.002272469,0.0002424327,0.002441787,0.000007839922,0.0001295207,0.01390727],"genre_scores_gemma":[0.9887714,0.00001017131,0.001768692,0.008392944,0.0001336586,0.0001446605,0.0006113772,0.00001956951,0.0001475144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4410447,"threshold_uncertainty_score":0.7340966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05333490296701107,"score_gpt":0.375982951875083,"score_spread":0.322648048908072,"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."}}