{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04578681,0.0007055431,0.001473629,0.002786278,0.003723903,0.004491539,0.002131416,0.002297795,0.05624136],"category_scores_gemma":[0.3126184,0.0004410977,0.001508521,0.001716226,0.001901748,0.002729039,0.002322015,0.002345634,0.02293335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001804984,"about_ca_system_score_gemma":0.01327053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261255,"about_ca_topic_score_gemma":0.006693488,"domain_scores_codex":[0.9666545,0.01570922,0.003115592,0.001837528,0.01187885,0.0008043121],"domain_scores_gemma":[0.4810368,0.07615495,0.006221579,0.02127402,0.4088847,0.006427904],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008150096,0.0002370687,0.005100606,0.001589878,0.0002744235,0.0003876355,0.0005684607,0.0008630603,0.00262614,0.002166542,0.7952904,0.1900809],"study_design_scores_gemma":[0.0009027143,0.0006261814,0.01566601,0.0020125,0.0004446223,0.0008190345,0.00125895,0.02542473,0.01375915,0.006013239,0.9328836,0.0001892146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.1363252,0.007437952,0.1666086,0.238642,0.2838779,0.02072512,0.0186837,0.0125368,0.1151627],"genre_scores_gemma":[0.4608074,0.006256362,0.1694181,0.02985763,0.0361719,0.006856567,0.03433022,0.008278486,0.2480233],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9542132,"threshold_uncertainty_score":0.2421467,"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."}}