{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596108,0.0001074421,0.0001747455,0.00009858501,0.000227842,0.00005622016,0.00002546063,0.00005287456,0.00001501715],"category_scores_gemma":[0.0002596114,0.00009942527,0.00001268955,0.0002392434,0.00001517017,0.0001252108,0.00006634584,0.00009337419,0.000002141645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095998,"about_ca_system_score_gemma":0.00006277338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007137078,"about_ca_topic_score_gemma":0.0016269,"domain_scores_codex":[0.9989512,0.0001219167,0.0002861015,0.000378957,0.0001435782,0.0001182272],"domain_scores_gemma":[0.999413,0.00007700767,0.0001242738,0.0002451612,0.00008251901,0.00005807199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001011908,0.001147489,0.1002232,0.00003818521,0.0001600401,0.00002128468,0.001386465,0.000004441401,0.0002272683,0.00000387346,0.0002648188,0.8964217],"study_design_scores_gemma":[0.008670354,0.0005891729,0.5133146,0.0000882993,0.0003480694,0.00004925614,0.002141712,0.01997676,0.008565667,0.00005619668,0.4459307,0.00026921],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919472,0.0002181789,0.006362271,0.0001486493,0.00008214085,0.00114762,0.00003061788,0.00003397761,0.00002931494],"genre_scores_gemma":[0.9885564,0.0001839286,0.008338303,0.00002121785,0.00002686331,0.0003502352,0.001176773,0.00001882794,0.001327491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8961525,"threshold_uncertainty_score":0.4054445,"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."}}