{"id":"W3167086996","doi":"10.2196/28917","title":"Authors’ Response to Peer Reviews of “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":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herpes simplex virus; Identification (biology); Machine learning; Computer science; Data collection; Artificial intelligence; Algorithm; Medicine; Virology; Virus; Mathematics; Statistics; Biology","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":[0.00175565,0.0001148942,0.0002856673,0.0001539284,0.0001515981,0.00003293999,0.0000336107,0.00005657266,0.00001730464],"category_scores_gemma":[0.002104517,0.0001017818,0.00001977556,0.0003818207,0.00001446811,0.00009816533,0.000077937,0.00009106468,0.000002424859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133315,"about_ca_system_score_gemma":0.00007862184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004277912,"about_ca_topic_score_gemma":0.0009010418,"domain_scores_codex":[0.9984051,0.0004230241,0.0004817218,0.0003770743,0.0001999495,0.000113141],"domain_scores_gemma":[0.9990615,0.0001511705,0.0002034297,0.0003237073,0.0001807872,0.00007939235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008841737,0.001112661,0.03135227,0.00009147901,0.0001270446,0.00001285005,0.004259604,0.000005089974,0.002129948,0.000002340316,0.001616846,0.9584057],"study_design_scores_gemma":[0.002660969,0.0004702415,0.1797376,0.0001127012,0.0001563015,0.00001234252,0.0007175616,0.001515768,0.007756609,0.000009058675,0.8067319,0.0001189999],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898908,0.0003000553,0.007177212,0.0005578746,0.00007795283,0.001927614,0.00004042409,0.0000178833,0.00001025884],"genre_scores_gemma":[0.9608849,0.0003916507,0.03012412,0.00004601973,0.00002939917,0.0007891988,0.0008776464,0.00002956481,0.006827541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9582867,"threshold_uncertainty_score":0.4150542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06139375440711454,"score_gpt":0.3634003412428534,"score_spread":0.3020065868357388,"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."}}