{"id":"W4206747988","doi":"10.3389/fcell.2021.716853","title":"Therapeutic Mesenchymal Stem/Stromal Cells: Value, Challenges and Optimization","year":2022,"lang":"en","type":"review","venue":"Frontiers in Cell and Developmental Biology","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Amis de l'Institut Bordet; Université de Montréal; Fonds De La Recherche Scientifique - FNRS; Arthritis Society","keywords":"Mesenchymal stem cell; Stem cell; Stromal cell; Value (mathematics); Cell biology; Biology; Medicine; Cancer research; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.0006036403,0.0004656593,0.001614578,0.000540557,0.0001291387,0.00001917949,0.0001871256,0.0004793768,0.0003273537],"category_scores_gemma":[0.00001786424,0.0003726932,0.0001145308,0.0002512749,0.0002445843,0.00004520113,0.0004094603,0.0006902525,0.00001172024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496199,"about_ca_system_score_gemma":0.0004475777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000128187,"about_ca_topic_score_gemma":0.000001905427,"domain_scores_codex":[0.997259,0.0005019666,0.0006086832,0.0008413795,0.0002401511,0.0005488719],"domain_scores_gemma":[0.9991814,0.0002395609,0.000164163,0.0001845056,0.00001757233,0.0002127742],"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":[0.00005832198,0.00009194396,0.0002660758,0.007322322,0.0001491994,0.00008308708,0.0002885824,0.000001850947,0.00001120972,0.00005251369,0.0004265031,0.9912484],"study_design_scores_gemma":[0.0007897035,0.000416324,0.00003415258,0.0007250221,0.0001686105,0.000203435,0.001124341,0.0001505229,0.00002052566,0.00005149386,0.9959078,0.0004080653],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008463633,0.9866154,0.0002055713,0.00004206529,0.0006307501,0.001124798,0.00001981417,0.00002820787,0.01124876],"genre_scores_gemma":[0.00004419964,0.9827959,0.01473686,0.00005403007,0.00005859836,0.0001842441,0.0002254002,0.00005240845,0.001848351],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9954813,"threshold_uncertainty_score":0.9998725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08372819283685533,"score_gpt":0.3177375131122916,"score_spread":0.2340093202754363,"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."}}