{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03592655,0.001156305,0.002723762,0.002553459,0.005142157,0.007197269,0.002205203,0.01178767,0.08202738],"category_scores_gemma":[0.4494333,0.001147776,0.002547194,0.001892964,0.002427089,0.002369379,0.003825219,0.01114035,0.05444631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004149407,"about_ca_system_score_gemma":0.01136719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008387145,"about_ca_topic_score_gemma":0.01201038,"domain_scores_codex":[0.9394194,0.01968985,0.008783311,0.003408158,0.0261564,0.002542871],"domain_scores_gemma":[0.5308568,0.098152,0.01630111,0.01274952,0.3335694,0.008371148],"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":[0.00009626352,0.00001674442,0.0002709504,0.0001651143,0.00002335893,0.00005021987,0.00006700285,0.00004428064,0.00007390219,0.0002109142,0.9946231,0.004358273],"study_design_scores_gemma":[0.0002363746,0.00006408362,0.002058174,0.0009313714,0.0000646129,0.0001789408,0.0005337825,0.0009661239,0.0006774653,0.001153074,0.9930401,0.00009594511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001398891,0.001474799,0.002477325,0.5704947,0.4123886,0.0005397884,0.003832849,0.001159729,0.006233227],"genre_scores_gemma":[0.0256376,0.002937338,0.008977566,0.6618544,0.177234,0.002863166,0.004956337,0.002344684,0.1131948],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9640734,"threshold_uncertainty_score":0.2744089,"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."}}