{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002760677,0.0005040776,0.001363836,0.0005456486,0.00180445,0.002789957,0.0009919509,0.02680981,0.004225494],"category_scores_gemma":[0.01602367,0.0002640983,0.00147792,0.0004274764,0.001787533,0.003161715,0.0008763766,0.01823236,0.003842827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003006243,"about_ca_system_score_gemma":0.002174383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001951,"about_ca_topic_score_gemma":0.003798145,"domain_scores_codex":[0.9977999,0.0008147359,0.0002727272,0.0001672075,0.0006678157,0.0002775882],"domain_scores_gemma":[0.9939815,0.003614059,0.0005111391,0.0001805539,0.0007653469,0.0009473287],"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":[0.0006090649,0.0004080004,0.005973578,0.0004662285,0.0001485675,0.02068984,0.0003794511,0.0002871274,0.002077923,0.01590853,0.8070729,0.1459787],"study_design_scores_gemma":[0.0009183675,0.0007480258,0.00387535,0.00122422,0.0001900465,0.01651214,0.0008089869,0.001035,0.001269689,0.03019982,0.943092,0.0001263909],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001432093,0.01148596,0.0002121304,0.9733061,0.009844564,0.00001226033,0.00003130106,0.00002272267,0.003652904],"genre_scores_gemma":[0.02785754,0.01593872,0.0008296759,0.87121,0.07784194,0.0000844747,0.00006594216,0.00002808951,0.006143726],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02680981,"threshold_uncertainty_score":0.02181196,"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."}}