{"id":"W3096377581","doi":"10.2196/24739","title":"Author Response to Peer Reviews of “A Machine Learning Explanation of the Pathogen-Immune Relationship of SARS-CoV-2 (COVID-19), and a Model to Predict Immunity and Therapeutic Opportunity: A Comparative Effectiveness Research Study”","year":2020,"lang":"en","type":"article","venue":"JMIRx Med","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Immunity; Immune system; Biology; Virology; Immunology; Medicine","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":[0.01909767,0.001291378,0.002789226,0.003152434,0.003578454,0.007598387,0.002882816,0.01201615,0.1658426],"category_scores_gemma":[0.2308125,0.001094822,0.002499358,0.001973837,0.001487665,0.002865538,0.003150979,0.0075068,0.08941284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003589035,"about_ca_system_score_gemma":0.00859301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005034375,"about_ca_topic_score_gemma":0.01053072,"domain_scores_codex":[0.9782254,0.006116943,0.003165645,0.001444842,0.009677077,0.001370286],"domain_scores_gemma":[0.8010485,0.04091441,0.007199943,0.006532902,0.1371993,0.007105001],"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":[0.00005077339,0.00000740847,0.00008107995,0.0001404453,0.00001249279,0.00003072788,0.00001207128,0.00001166734,0.0000261662,0.0001184951,0.9964004,0.003108247],"study_design_scores_gemma":[0.0001071134,0.00003344387,0.001127793,0.0005215014,0.00003525525,0.0001280909,0.0001462657,0.0003047201,0.0001768081,0.0005720896,0.9968067,0.00004014195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0003232462,0.002385431,0.0006876487,0.3782287,0.6075762,0.0002646806,0.002690864,0.0005492244,0.007294025],"genre_scores_gemma":[0.01241547,0.007060904,0.003046545,0.4208024,0.3389711,0.001155164,0.004967758,0.001329941,0.2102507],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9809023,"threshold_uncertainty_score":0.5547988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4937467976976777,"score_gpt":0.5127974565440869,"score_spread":0.01905065884640927,"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."}}