{"id":"W3171131630","doi":"10.2196/28919","title":"Peer Review 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":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Herpes simplex virus; Computer science; Data collection; Machine learning; Artificial intelligence; Algorithm; Medicine; Virology; Virus; Mathematics; Statistics","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":[0.001414929,0.00007852566,0.0002098967,0.00007184542,0.0001149919,0.00002006724,0.00003688164,0.00004794371,0.00001627715],"category_scores_gemma":[0.002827132,0.0000746534,0.00001282836,0.0002697016,0.00001915612,0.000113461,0.00004330186,0.0001005541,9.767911e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007519185,"about_ca_system_score_gemma":0.0001553087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111165,"about_ca_topic_score_gemma":0.001032999,"domain_scores_codex":[0.9986175,0.0001582087,0.0005484851,0.0002963522,0.0002792241,0.0001002131],"domain_scores_gemma":[0.9987061,0.0001601094,0.0002534487,0.0002409779,0.0005879409,0.0000514322],"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":[0.00007074122,0.0004012174,0.02717384,0.001316815,0.00003179396,0.00000204382,0.004594646,0.000001447028,0.0003594533,0.000004062665,0.002957801,0.9630861],"study_design_scores_gemma":[0.00118425,0.001107986,0.2015785,0.004553702,0.0005034682,0.00004321318,0.02330029,0.02393932,0.07769053,0.0002605591,0.665339,0.0004992512],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819983,0.005068596,0.006084494,0.004740001,0.0001768033,0.001880685,0.00001998007,0.00001783716,0.00001331254],"genre_scores_gemma":[0.9697274,0.01017525,0.01325223,0.0002390195,0.0001055003,0.0005028575,0.00321381,0.00002690855,0.002757023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9625869,"threshold_uncertainty_score":0.3384545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839048627370874,"score_gpt":0.4420208465549326,"score_spread":0.2581159838178452,"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."}}