{"id":"W3087674230","doi":"10.2147/idr.s269797","title":"<p>Drugs for Multiple Sclerosis Activate Natural Killer Cells: Do They Protect Against COVID-19 Infection?</p>","year":2020,"lang":"en","type":"review","venue":"Infection and Drug Resistance","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Terry Fox Foundation","keywords":"Multiple sclerosis; Coronavirus disease 2019 (COVID-19); Pharmacology; Medicine; Virology; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immunology; Internal medicine; Infectious disease (medical specialty); Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005707321,0.0008793395,0.001546633,0.0004799306,0.001176279,0.0002017322,0.0002098903,0.0008309818,0.0002907473],"category_scores_gemma":[0.0008177007,0.000757559,0.0009291434,0.0004784327,0.0002151446,0.0003840121,0.0001325588,0.001212578,0.0005511735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672908,"about_ca_system_score_gemma":0.0003344191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001071629,"about_ca_topic_score_gemma":0.0004695276,"domain_scores_codex":[0.996276,0.0008303286,0.001033039,0.001144105,0.0001177223,0.0005988403],"domain_scores_gemma":[0.9971931,0.0009003299,0.001010644,0.0005173672,0.0002350457,0.0001435415],"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":[0.001820951,0.0004357367,0.00002932262,0.01635377,0.00159897,0.00000621546,0.001100997,0.00002127394,0.02758159,0.0008442527,0.3350773,0.6151296],"study_design_scores_gemma":[0.001824115,0.0000864446,0.0000244707,0.002632034,0.0003456748,0.00003203943,0.00002121164,0.000007223553,0.001154911,0.00004275629,0.9930375,0.0007916396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003316076,0.9742484,0.0007866715,0.0003210625,0.01709514,0.003320524,0.0000674387,0.0006161376,0.003213024],"genre_scores_gemma":[0.006198619,0.9522167,0.00005057472,0.0005688104,0.0002813238,0.001221832,0.000613171,0.0001227636,0.03872623],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6579602,"threshold_uncertainty_score":0.9994875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02785036707598097,"score_gpt":0.2736352511474352,"score_spread":0.2457848840714542,"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."}}