{"id":"W3211491499","doi":"10.1007/s11427-021-2022-5","title":"Treatment of COVID-19 with MSCs: how does it work?","year":2021,"lang":"en","type":"letter","venue":"Science China Life Sciences","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Work (physics); Virology; Computer science; Medicine; Engineering; Outbreak; Internal medicine; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001746487,0.0007388915,0.001308998,0.001202916,0.001014968,0.0005205525,0.001878337,0.0003743843,0.0002812033],"category_scores_gemma":[0.004733518,0.0003791484,0.000318752,0.005083606,0.01256232,0.0008209276,0.0002642984,0.0006636414,0.00002193011],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008786463,"about_ca_system_score_gemma":0.0195556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004424177,"about_ca_topic_score_gemma":0.00007238726,"domain_scores_codex":[0.9915416,0.0002249218,0.0004995737,0.002190731,0.004203904,0.001339222],"domain_scores_gemma":[0.9952731,0.001147763,0.0006673837,0.001455038,0.0003147965,0.0011419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003196643,0.0007049895,0.1101899,0.003664125,0.0002927421,0.006741728,0.009703464,0.0002549508,0.00190871,0.0002921343,0.8631084,0.002819199],"study_design_scores_gemma":[0.004238846,0.009150689,0.01428598,0.002636643,0.0007551275,0.0008282269,0.002760814,0.0002417113,0.005563898,0.0007193979,0.9568573,0.001961376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06153871,0.001137633,0.0001561618,0.9319865,0.00122871,0.001348374,0.00004409723,0.0001321846,0.002427687],"genre_scores_gemma":[0.2124531,0.0006649584,0.007414459,0.7645413,0.003611322,0.0002019416,0.00008069616,0.00007597162,0.01095627],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1674451,"threshold_uncertainty_score":0.9998661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928225865803698,"score_gpt":0.324291496460222,"score_spread":0.295009237802185,"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."}}