{"id":"W3110039915","doi":"10.1182/bloodadvances.2020002646","title":"Mesenchymal stromal cells in hematopoietic cell transplantation","year":2020,"lang":"en","type":"review","venue":"Blood Advances","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Mesenchymal stem cell; Transplantation; Immunology; Stromal cell; Paracrine signalling; Hematopoietic stem cell transplantation; Cell therapy; Biology; Haematopoiesis; Graft-versus-host disease; Cancer research; Immune system; Stem cell; Bone marrow; Context (archaeology); Medicine; Cell biology; Internal medicine; Receptor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002663406,0.0005408913,0.002260356,0.0003255542,0.0000480422,0.00003552798,0.0003295196,0.0003196227,0.0003375288],"category_scores_gemma":[0.00005005922,0.000432344,0.0004551004,0.0007815195,0.00008485396,0.0001427355,0.00005828859,0.0009565836,0.0004649717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008258624,"about_ca_system_score_gemma":0.0005788783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001487938,"about_ca_topic_score_gemma":0.00001670073,"domain_scores_codex":[0.9966006,0.0002456608,0.0009252514,0.0007954751,0.0008161761,0.0006168518],"domain_scores_gemma":[0.998581,0.0003638391,0.0002638889,0.000380161,0.00004987276,0.0003612534],"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":[0.00008622818,0.0005977874,0.0001632618,0.2406058,0.000130682,0.006371305,0.0002863453,0.000003363519,0.0002669421,0.00007609365,0.0001132366,0.7512989],"study_design_scores_gemma":[0.001166932,0.0004275189,0.00001563818,0.01344393,0.001202631,0.0004671289,0.00006227365,0.000004079114,0.001189673,0.00001851923,0.9815999,0.000401729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001414888,0.9856968,0.00002538202,0.00004793664,0.0001774023,0.001759562,0.00007370035,0.00006606182,0.01201166],"genre_scores_gemma":[0.000272659,0.9965779,0.001109106,0.00002364374,0.0002859461,0.00016974,0.000166349,0.00008653265,0.001308117],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9814867,"threshold_uncertainty_score":0.9998128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707227384673804,"score_gpt":0.3488574601570446,"score_spread":0.3117851863103066,"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."}}