{"id":"W2944107544","doi":"10.3390/jcm8050626","title":"Mesenchymal Stromal Cell-Based Therapy: New Perspectives and Challenges","year":2019,"lang":"en","type":"editorial","venue":"Journal of Clinical Medicine","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mesenchymal stem cell; Medicine; Cell therapy; Stromal cell; Immune system; Regenerative medicine; Population; Immunology; Priming (agriculture); Extracellular vesicles; Stem cell; Bioinformatics; Cell biology; Cancer research; Biology; Pathology","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007966761,0.0006255145,0.004028161,0.0006106202,0.00005954514,0.00003186724,0.0005926755,0.001781442,0.001301267],"category_scores_gemma":[0.02542898,0.0003825838,0.0007467876,0.000228824,0.0007559318,0.0001202272,0.0001197305,0.006021905,0.00004370234],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001620494,"about_ca_system_score_gemma":0.005818959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006093869,"about_ca_topic_score_gemma":0.000005733533,"domain_scores_codex":[0.9902316,0.0007944751,0.003075644,0.0007741282,0.004493208,0.0006309673],"domain_scores_gemma":[0.9769219,0.01599842,0.002341336,0.0007914567,0.00215699,0.001789926],"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":[0.006227176,0.00062562,0.0009839563,0.001150501,0.0005512338,0.0007798869,0.000449311,0.000001368408,0.0001331291,0.00001760358,0.9525374,0.0365428],"study_design_scores_gemma":[0.02336865,0.02820273,0.004463704,0.003126286,0.0005618918,0.00009121233,0.00127569,0.00003759751,0.00004500194,0.00006866834,0.9384502,0.0003083242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.007164512,0.2589225,0.00007814886,0.03888748,0.6761647,0.001020966,0.00001429784,0.00003361022,0.01771384],"genre_scores_gemma":[0.010201,0.2002806,0.0006204651,0.0001901765,0.7823325,0.000002525567,0.0000156367,0.0001017793,0.006255309],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1061678,"threshold_uncertainty_score":0.9998626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1730812941034748,"score_gpt":0.4689873790772798,"score_spread":0.295906084973805,"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."}}