{"id":"W3207418263","doi":"10.2196/34081","title":"Author’s Response to Peer Reviews of “Machine Learning–Based Prediction of COVID-19 Mortality With Limited Attributes to Expedite Patient Prognosis and Triage: Retrospective Observational Study”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Triage; Observational study; Coronavirus disease 2019 (COVID-19); Medicine; 2019-20 coronavirus outbreak; Computer science; Emergency medicine; Internal medicine; Virology","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":[0.02135084,0.0009359969,0.002544818,0.002641353,0.003186048,0.005547039,0.002313688,0.007434668,0.08714552],"category_scores_gemma":[0.3075684,0.0008251444,0.002406216,0.002139396,0.001538909,0.001969334,0.003007388,0.007370897,0.04675028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002522907,"about_ca_system_score_gemma":0.007435801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006352144,"about_ca_topic_score_gemma":0.009180728,"domain_scores_codex":[0.9766609,0.006539904,0.00523468,0.001893363,0.008367828,0.001303247],"domain_scores_gemma":[0.7479553,0.05147999,0.01120394,0.009216229,0.1739337,0.006210883],"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":[0.00007517071,0.000009618447,0.0003654969,0.0001821392,0.00002268741,0.00004857498,0.0000267307,0.00001972518,0.0000342299,0.0001418188,0.9958693,0.003204373],"study_design_scores_gemma":[0.0002255989,0.00004656287,0.00410095,0.0017507,0.00007377606,0.0002654124,0.0004706531,0.0005960366,0.000434783,0.001042257,0.9908928,0.0001006594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0007833246,0.002001142,0.001041009,0.4399586,0.5455682,0.0002792047,0.005027439,0.0004749731,0.004866132],"genre_scores_gemma":[0.02449579,0.006395175,0.005140567,0.590428,0.2761532,0.001605044,0.006819259,0.0013493,0.08761379],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9786491,"threshold_uncertainty_score":0.2915308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1956045560761398,"score_gpt":0.4121727370824892,"score_spread":0.2165681810063494,"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."}}