{"id":"W2890347208","doi":"10.3324/haematol.2018.196568","title":"Bone marrow mesenchymal stem/stromal cells from risk-stratified acute myeloid leukemia patients are anti-inflammatory in <i>in vivo</i> preclinical models of hematopoietic reconstitution and severe colitis","year":2018,"lang":"en","type":"letter","venue":"Haematologica","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Christian ministry; Mesenchymal stem cell; Bone marrow; Internal medicine; Oncology; Cancer research; Pathology; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005006309,0.0002336884,0.0005043172,0.0002666266,0.0008002807,0.0009937902,0.0004139823,0.004650704,0.005302521],"category_scores_gemma":[0.002998859,0.0001467396,0.0003194794,0.0002669152,0.0005469371,0.0006122161,0.0002989364,0.004020945,0.004145868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000860048,"about_ca_system_score_gemma":0.0005411637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006091237,"about_ca_topic_score_gemma":0.001689546,"domain_scores_codex":[0.9996359,0.0001376199,0.0000388868,0.00003464064,0.00009445028,0.00005849498],"domain_scores_gemma":[0.9992649,0.0003859146,0.00005178637,0.00004895713,0.0001178204,0.000130642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001023846,0.0003087702,0.0096152,0.0002656593,0.00004215202,0.109631,0.0003903362,0.0002592914,0.005845079,0.00916047,0.6961988,0.1672594],"study_design_scores_gemma":[0.0003954166,0.000453523,0.008149715,0.0002803271,0.00005036689,0.08805666,0.000535026,0.001099789,0.002811763,0.0119241,0.8862101,0.00003318046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03656366,0.01274607,0.001016074,0.879932,0.02003684,0.0001183325,0.0003333126,0.0002118122,0.04904187],"genre_scores_gemma":[0.3374658,0.02061861,0.002494321,0.5186296,0.05238894,0.0002247135,0.0006729988,0.0001299029,0.06737521],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.005302521,"threshold_uncertainty_score":0.0177387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03588783827418238,"score_gpt":0.2718389579882562,"score_spread":0.2359511197140738,"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."}}