{"id":"W3139387959","doi":"10.2196/25560","title":"Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Herpesvirus Infections and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"EIT Health; European Commission","keywords":"Herpes simplex virus; National Health and Nutrition Examination Survey; Medicine; Algorithm; HSL and HSV; Data quality; Computer science; Machine learning; Immunology; Population; Environmental health","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":[0.02598047,0.001670352,0.001990916,0.001907093,0.0009723511,0.001529108,0.002424825,0.002315189,0.001496638],"category_scores_gemma":[0.03993598,0.000637587,0.001593976,0.001425075,0.0006437651,0.001309195,0.001739651,0.003266407,0.0006630287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851668,"about_ca_system_score_gemma":0.003675522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01462155,"about_ca_topic_score_gemma":0.008947857,"domain_scores_codex":[0.9931145,0.00455034,0.0004734035,0.0008501036,0.0005926083,0.0004189863],"domain_scores_gemma":[0.9635106,0.02928802,0.0008575505,0.001746295,0.004138829,0.0004587467],"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":[0.001734893,0.00237256,0.1229884,0.0003571555,0.001114506,0.0002522329,0.0003246559,0.5427303,0.001086404,0.001543735,0.008005367,0.3174898],"study_design_scores_gemma":[0.00007866813,0.0001549284,0.002398462,0.00003213574,0.00004606772,0.00003852627,0.00004675726,0.9959306,0.0003917653,0.0005654811,0.0003074131,0.000009148566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6509087,0.003259943,0.3331997,0.001990444,0.0003035894,0.001905551,0.001437706,0.004280732,0.002713735],"genre_scores_gemma":[0.773007,0.0004741934,0.2211998,0.0004727459,0.00006906256,0.001101461,0.002421813,0.0001052438,0.001148765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02598047,"threshold_uncertainty_score":0.1373995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03895735367126594,"score_gpt":0.3227913425013392,"score_spread":0.2838339888300733,"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."}}